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Archive 4 checkpoints (1-4)

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paper-releases/pbisc-diffusion/updates/20261008T022410Z-deconv-scsemi-deck/diffusion/dataset/server_1/model8/plans/bayesprism_paired_20261006/logs/finalize_cx_20261008T110117.log ADDED
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1
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15
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16
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17
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18
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19
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20
+ {"dataset": "imperial_eskd", "comparison": "fewshot", "draw": 1, "gene_mode": "cibersortx", "bayesprism": {"comp_l1": 0.6541762446688113, "comp_l1_by_variant": {"final_cells": 0.6541762446688113, "first_cells": 0.6541762446688113, "final_mrna": 0.691286377681052, "first_mrna": 0.691286377681052}, "mean_fraction": {"final_cells": {"T cell": 0.3465, "B cell": 0.0616, "Monocyte": 0.3789, "NK cell": 0.1115, "DC": 0.046, "Other": 0.0555}, "first_cells": {"T cell": 0.3465, "B cell": 0.0616, "Monocyte": 0.3789, "NK cell": 0.1115, "DC": 0.046, "Other": 0.0555}, "final_mrna": {"T cell": 0.3377, "B cell": 0.0608, "Monocyte": 0.3639, "NK cell": 0.0931, "DC": 0.0918, "Other": 0.0527}, "first_mrna": {"T cell": 0.3377, "B cell": 0.0608, "Monocyte": 0.3639, "NK cell": 0.0931, "DC": 0.0918, "Other": 0.0527}}, "logfc_r_mean_cp10k": 0.26675079977347094, "partial_r_mean_cp10k": 0.0376822849901401, "logfc_r_mean_cp10k_covered_genes": 0.3351982004659172, "deg_top50_sum": 30, "deg_top50_sum_covered_genes": 30, "per_type_logfc_r": {"T cell": 0.2465, "B cell": 0.0835, "Monocyte": 0.6418, "NK cell": 0.0952}}, "lora": {"comp_l1": 0.5160151799648663, "coverage": 0.7829399392381398, "logfc_r_mean_cp10k": 0.7570901930571807, "deg_top50_sum": 119, "partial_r_mean_cp10k": 0.6045509566158934}, "broadcast": {"logfc_r_mean_cp10k": 0.6611787175621116, "logfc_r_mean_cp10k_covered_genes": 0.6124512133803278, "deg_top50_sum": 86}}
21
+ {"dataset": "imperial_eskd", "comparison": "fewshot", "draw": 2, "gene_mode": "cibersortx", "bayesprism": {"comp_l1": 0.6855049998932723, "comp_l1_by_variant": {"final_cells": 0.6855049998932723, "first_cells": 0.6855049998932723, "final_mrna": 0.6935421290569926, "first_mrna": 0.6935421290569926}, "mean_fraction": {"final_cells": {"T cell": 0.2637, "B cell": 0.0911, "Monocyte": 0.3414, "NK cell": 0.1934, "DC": 0.0513, "Other": 0.0591}, "first_cells": {"T cell": 0.2637, "B cell": 0.0911, "Monocyte": 0.3414, "NK cell": 0.1934, "DC": 0.0513, "Other": 0.0591}, "final_mrna": {"T cell": 0.2748, "B cell": 0.096, "Monocyte": 0.3317, "NK cell": 0.1436, "DC": 0.0863, "Other": 0.0676}, "first_mrna": {"T cell": 0.2748, "B cell": 0.096, "Monocyte": 0.3317, "NK cell": 0.1436, "DC": 0.0863, "Other": 0.0676}}, "logfc_r_mean_cp10k": 0.277286721740825, "partial_r_mean_cp10k": 0.060739167676012965, "logfc_r_mean_cp10k_covered_genes": 0.3620920993548596, "deg_top50_sum": 28, "deg_top50_sum_covered_genes": 28, "per_type_logfc_r": {"T cell": 0.2126, "B cell": 0.118, "Monocyte": 0.6202, "NK cell": 0.1583}}, "lora": {"comp_l1": 0.5117644876225123, "coverage": 0.6650339110776187, "logfc_r_mean_cp10k": 0.7139546009415169, "deg_top50_sum": 103, "partial_r_mean_cp10k": 0.5764372157359006}, "broadcast": {"logfc_r_mean_cp10k": 0.6433613217171205, "logfc_r_mean_cp10k_covered_genes": 0.5969865485925199, "deg_top50_sum": 65}}
22
+ {"dataset": "imperial_eskd", "comparison": "fewshot", "draw": 3, "gene_mode": "cibersortx", "bayesprism": {"comp_l1": 0.6212115928563943, "comp_l1_by_variant": {"final_cells": 0.6212115928563943, "first_cells": 0.6212115928563943, "final_mrna": 0.7028502433799985, "first_mrna": 0.7028502433799985}, "mean_fraction": {"final_cells": {"T cell": 0.3485, "B cell": 0.0354, "Monocyte": 0.3249, "NK cell": 0.1924, "DC": 0.0526, "Other": 0.0462}, "first_cells": {"T cell": 0.3485, "B cell": 0.0354, "Monocyte": 0.3249, "NK cell": 0.1924, "DC": 0.0526, "Other": 0.0462}, "final_mrna": {"T cell": 0.3052, "B cell": 0.0429, "Monocyte": 0.3638, "NK cell": 0.1459, "DC": 0.0946, "Other": 0.0476}, "first_mrna": {"T cell": 0.3052, "B cell": 0.0429, "Monocyte": 0.3638, "NK cell": 0.1459, "DC": 0.0946, "Other": 0.0476}}, "logfc_r_mean_cp10k": 0.2875769620209124, "partial_r_mean_cp10k": 0.06329601007176323, "logfc_r_mean_cp10k_covered_genes": 0.3707037183477628, "deg_top50_sum": 26, "deg_top50_sum_covered_genes": 26, "per_type_logfc_r": {"T cell": 0.2226, "B cell": 0.092, "Monocyte": 0.6317, "NK cell": 0.204}}, "lora": {"comp_l1": 0.5275199844470723, "coverage": 0.842680564523568, "logfc_r_mean_cp10k": 0.7455905986374256, "deg_top50_sum": 117, "partial_r_mean_cp10k": 0.6007400715066787}, "broadcast": {"logfc_r_mean_cp10k": 0.6538959233815048, "logfc_r_mean_cp10k_covered_genes": 0.5940125287652693, "deg_top50_sum": 76}}
23
+ {"dataset": "imperial_eskd", "comparison": "fewshot", "draw": 4, "gene_mode": "cibersortx", "bayesprism": {"comp_l1": 0.6432264870798222, "comp_l1_by_variant": {"final_cells": 0.6432264870798222, "first_cells": 0.6432264870798222, "final_mrna": 0.7155526059071532, "first_mrna": 0.7155526059071532}, "mean_fraction": {"final_cells": {"T cell": 0.3242, "B cell": 0.0651, "Monocyte": 0.3883, "NK cell": 0.1432, "DC": 0.0479, "Other": 0.0313}, "first_cells": {"T cell": 0.3242, "B cell": 0.0651, "Monocyte": 0.3883, "NK cell": 0.1432, "DC": 0.0479, "Other": 0.0313}, "final_mrna": {"T cell": 0.2912, "B cell": 0.074, "Monocyte": 0.4066, "NK cell": 0.1043, "DC": 0.0829, "Other": 0.0411}, "first_mrna": {"T cell": 0.2912, "B cell": 0.074, "Monocyte": 0.4066, "NK cell": 0.1043, "DC": 0.0829, "Other": 0.0411}}, "logfc_r_mean_cp10k": 0.2933124611981251, "partial_r_mean_cp10k": 0.06932961604601938, "logfc_r_mean_cp10k_covered_genes": 0.3762981477946839, "deg_top50_sum": 38, "deg_top50_sum_covered_genes": 38, "per_type_logfc_r": {"T cell": 0.239, "B cell": 0.1295, "Monocyte": 0.6495, "NK cell": 0.1552}}, "lora": {"comp_l1": 0.48142813711177446, "coverage": 0.6369376110747358, "logfc_r_mean_cp10k": 0.7492433446082651, "deg_top50_sum": 113, "partial_r_mean_cp10k": 0.575230848198632}, "broadcast": {"logfc_r_mean_cp10k": 0.6565426449733607, "logfc_r_mean_cp10k_covered_genes": 0.5982397217635673, "deg_top50_sum": 76}}
24
+ {"dataset": "imperial_eskd", "comparison": "cv", "draw": null, "gene_mode": "cibersortx", "bayesprism": {"comp_l1": 0.5918271288164071, "comp_l1_by_variant": {"final_cells": 0.5918271288164071, "first_cells": 0.5918271288164071, "final_mrna": 0.6633005066634348, "first_mrna": 0.6633005066634348}, "mean_fraction": {"final_cells": {"T cell": 0.3685, "B cell": 0.07, "Monocyte": 0.324, "NK cell": 0.1331, "DC": 0.0376, "Other": 0.0668}, "first_cells": {"T cell": 0.3685, "B cell": 0.07, "Monocyte": 0.324, "NK cell": 0.1331, "DC": 0.0376, "Other": 0.0668}, "final_mrna": {"T cell": 0.3397, "B cell": 0.0751, "Monocyte": 0.3483, "NK cell": 0.0983, "DC": 0.0674, "Other": 0.0712}, "first_mrna": {"T cell": 0.3397, "B cell": 0.0751, "Monocyte": 0.3483, "NK cell": 0.0983, "DC": 0.0674, "Other": 0.0712}}, "logfc_r_mean_cp10k": 0.21113497684457377, "partial_r_mean_cp10k": 0.015667623661280307, "logfc_r_mean_cp10k_covered_genes": 0.3693097049105145, "deg_top50_sum": 1, "deg_top50_sum_covered_genes": 3, "per_type_logfc_r": {"T cell": 0.1634, "B cell": -0.0253, "Monocyte": 0.4332, "NK cell": 0.2733}}, "lora": {"comp_l1": 0.37638560875745664, "coverage": 0.8500127757431224, "logfc_r_mean_cp10k": 0.8187448084273437, "deg_top50_sum": 143, "partial_r_mean_cp10k": 0.6899314750539278}, "broadcast": {"logfc_r_mean_cp10k": 0.6606053132085035, "logfc_r_mean_cp10k_covered_genes": 0.5831498842343769, "deg_top50_sum": 84}}
25
+ {"dataset": "giroux2022", "comparison": "fewshot", "draw": 0, "gene_mode": "cibersortx", "bayesprism": {"comp_l1": 0.8513318718371892, "comp_l1_by_variant": {"final_cells": 0.8513318718371892, "first_cells": 0.8513318718371892, "final_mrna": 0.5719201437614763, "first_mrna": 0.5719201437614763}, "mean_fraction": {"final_cells": {"T cell": 0.2944, "B cell": 0.054, "Monocyte": 0.1323, "NK cell": 0.0428, "DC": 0.0018, "Other": 0.4747}, "first_cells": {"T cell": 0.2944, "B cell": 0.054, "Monocyte": 0.1323, "NK cell": 0.0428, "DC": 0.0018, "Other": 0.4747}, "final_mrna": {"T cell": 0.3339, "B cell": 0.0781, "Monocyte": 0.2639, "NK cell": 0.056, "DC": 0.007, "Other": 0.2612}, "first_mrna": {"T cell": 0.3339, "B cell": 0.0781, "Monocyte": 0.2639, "NK cell": 0.056, "DC": 0.007, "Other": 0.2612}}, "logfc_r_mean_cp10k": 0.043169836902222695, "partial_r_mean_cp10k": 0.033616720303144165, "logfc_r_mean_cp10k_covered_genes": 0.11204850205858954, "deg_top50_sum": 0, "deg_top50_sum_covered_genes": 0, "per_type_logfc_r": {"T cell": NaN, "B cell": NaN, "Monocyte": 0.0432, "NK cell": NaN}}, "lora": {"comp_l1": 0.27193277679338645, "coverage": 0.96, "logfc_r_mean_cp10k": 0.243392212681724, "deg_top50_sum": 0, "partial_r_mean_cp10k": 0.15035969319388034}, "broadcast": {"logfc_r_mean_cp10k": 0.4709654147613206, "logfc_r_mean_cp10k_covered_genes": 0.6007393502931081, "deg_top50_sum": 0}}
26
+ {"dataset": "giroux2022", "comparison": "fewshot", "draw": 1, "gene_mode": "cibersortx", "bayesprism": {"comp_l1": 0.5781759971117253, "comp_l1_by_variant": {"final_cells": 0.5781759971117253, "first_cells": 0.5781759971117253, "final_mrna": 0.44474798825029893, "first_mrna": 0.44474798825029893}, "mean_fraction": {"final_cells": {"T cell": 0.4133, "B cell": 0.0285, "Monocyte": 0.179, "NK cell": 0.041, "DC": 0.005, "Other": 0.3333}, "first_cells": {"T cell": 0.4133, "B cell": 0.0285, "Monocyte": 0.179, "NK cell": 0.041, "DC": 0.005, "Other": 0.3333}, "final_mrna": {"T cell": 0.4252, "B cell": 0.0381, "Monocyte": 0.3121, "NK cell": 0.0475, "DC": 0.0163, "Other": 0.1608}, "first_mrna": {"T cell": 0.4252, "B cell": 0.0381, "Monocyte": 0.3121, "NK cell": 0.0475, "DC": 0.0163, "Other": 0.1608}}, "logfc_r_mean_cp10k": NaN, "partial_r_mean_cp10k": NaN, "logfc_r_mean_cp10k_covered_genes": NaN, "deg_top50_sum": 0, "deg_top50_sum_covered_genes": 0, "per_type_logfc_r": {"T cell": NaN, "B cell": NaN, "Monocyte": NaN, "NK cell": NaN}}, "lora": {"comp_l1": 0.22320689222847964, "coverage": 0.9526666666666667, "logfc_r_mean_cp10k": 0.35634959703435354, "deg_top50_sum": 1, "partial_r_mean_cp10k": 0.2523250741286013}, "broadcast": {"logfc_r_mean_cp10k": 0.5012527613870964, "logfc_r_mean_cp10k_covered_genes": NaN, "deg_top50_sum": 0}}
27
+ {"dataset": "giroux2022", "comparison": "fewshot", "draw": 2, "gene_mode": "cibersortx", "bayesprism": {"comp_l1": 0.7362234910018671, "comp_l1_by_variant": {"final_cells": 0.7362234910018671, "first_cells": 0.7362234910018671, "final_mrna": 0.5549823156091591, "first_mrna": 0.5549823156091591}, "mean_fraction": {"final_cells": {"T cell": 0.3282, "B cell": 0.0622, "Monocyte": 0.1744, "NK cell": 0.0325, "DC": 0.0089, "Other": 0.3939}, "first_cells": {"T cell": 0.3282, "B cell": 0.0622, "Monocyte": 0.1744, "NK cell": 0.0325, "DC": 0.0089, "Other": 0.3939}, "final_mrna": {"T cell": 0.3593, "B cell": 0.0877, "Monocyte": 0.2967, "NK cell": 0.0432, "DC": 0.0238, "Other": 0.1894}, "first_mrna": {"T cell": 0.3593, "B cell": 0.0877, "Monocyte": 0.2967, "NK cell": 0.0432, "DC": 0.0238, "Other": 0.1894}}, "logfc_r_mean_cp10k": 0.14207699218896452, "partial_r_mean_cp10k": 0.03670999356082373, "logfc_r_mean_cp10k_covered_genes": 0.28706463437770313, "deg_top50_sum": 0, "deg_top50_sum_covered_genes": 0, "per_type_logfc_r": {"T cell": 0.1421, "B cell": NaN, "Monocyte": NaN, "NK cell": NaN}}, "lora": {"comp_l1": 0.2907494763185344, "coverage": 0.9533333333333334, "logfc_r_mean_cp10k": 0.230513969445487, "deg_top50_sum": 0, "partial_r_mean_cp10k": 0.15040912208962715}, "broadcast": {"logfc_r_mean_cp10k": 0.39643909018360535, "logfc_r_mean_cp10k_covered_genes": 0.3744566448404962, "deg_top50_sum": 0}}
28
+ {"dataset": "giroux2022", "comparison": "fewshot", "draw": 3, "gene_mode": "cibersortx", "bayesprism": {"comp_l1": 0.6273383088965232, "comp_l1_by_variant": {"final_cells": 0.6273383088965232, "first_cells": 0.6273383088965232, "final_mrna": 0.5349181669787998, "first_mrna": 0.5349181669787998}, "mean_fraction": {"final_cells": {"T cell": 0.4205, "B cell": 0.0449, "Monocyte": 0.1614, "NK cell": 0.0285, "DC": 0.0044, "Other": 0.3403}, "first_cells": {"T cell": 0.4205, "B cell": 0.0449, "Monocyte": 0.1614, "NK cell": 0.0285, "DC": 0.0044, "Other": 0.3403}, "final_mrna": {"T cell": 0.4199, "B cell": 0.0634, "Monocyte": 0.2956, "NK cell": 0.0351, "DC": 0.0151, "Other": 0.1709}, "first_mrna": {"T cell": 0.4199, "B cell": 0.0634, "Monocyte": 0.2956, "NK cell": 0.0351, "DC": 0.0151, "Other": 0.1709}}, "logfc_r_mean_cp10k": 0.10122878113268267, "partial_r_mean_cp10k": 0.01560047376617661, "logfc_r_mean_cp10k_covered_genes": 0.20480855492979932, "deg_top50_sum": 0, "deg_top50_sum_covered_genes": 0, "per_type_logfc_r": {"T cell": 0.1402, "B cell": NaN, "Monocyte": 0.0623, "NK cell": NaN}}, "lora": {"comp_l1": 0.2688359990061283, "coverage": 0.9624242424242424, "logfc_r_mean_cp10k": 0.24186295766157903, "deg_top50_sum": 0, "partial_r_mean_cp10k": 0.14697551642627654}, "broadcast": {"logfc_r_mean_cp10k": 0.4657480400911531, "logfc_r_mean_cp10k_covered_genes": 0.4666205977748122, "deg_top50_sum": 0}}
29
+ {"dataset": "giroux2022", "comparison": "fewshot", "draw": 4, "gene_mode": "cibersortx", "bayesprism": {"comp_l1": 0.5538402679700511, "comp_l1_by_variant": {"final_cells": 0.5538402679700511, "first_cells": 0.5538402679700511, "final_mrna": 0.3915609545174028, "first_mrna": 0.3915609545174028}, "mean_fraction": {"final_cells": {"T cell": 0.4197, "B cell": 0.0291, "Monocyte": 0.1543, "NK cell": 0.0698, "DC": 0.0168, "Other": 0.3103}, "first_cells": {"T cell": 0.4197, "B cell": 0.0291, "Monocyte": 0.1543, "NK cell": 0.0698, "DC": 0.0168, "Other": 0.3103}, "final_mrna": {"T cell": 0.436, "B cell": 0.034, "Monocyte": 0.2491, "NK cell": 0.0749, "DC": 0.0467, "Other": 0.1592}, "first_mrna": {"T cell": 0.436, "B cell": 0.034, "Monocyte": 0.2491, "NK cell": 0.0749, "DC": 0.0467, "Other": 0.1592}}, "logfc_r_mean_cp10k": NaN, "partial_r_mean_cp10k": NaN, "logfc_r_mean_cp10k_covered_genes": NaN, "deg_top50_sum": 0, "deg_top50_sum_covered_genes": 0, "per_type_logfc_r": {"T cell": NaN, "B cell": NaN, "Monocyte": NaN, "NK cell": NaN}}, "lora": {"comp_l1": 0.2274734478129418, "coverage": 0.9766666666666667, "logfc_r_mean_cp10k": 0.41085265458568265, "deg_top50_sum": 0, "partial_r_mean_cp10k": 0.24279747694617004}, "broadcast": {"logfc_r_mean_cp10k": 0.6280870820074911, "logfc_r_mean_cp10k_covered_genes": NaN, "deg_top50_sum": 0}}
30
+ {"dataset": "giroux2022", "comparison": "cv", "draw": null, "gene_mode": "cibersortx", "bayesprism": {"comp_l1": 0.5914100321768722, "comp_l1_by_variant": {"final_cells": 0.5914100321768722, "first_cells": 0.5914100321768722, "final_mrna": 0.4536133148837987, "first_mrna": 0.4536133148837987}, "mean_fraction": {"final_cells": {"T cell": 0.4474, "B cell": 0.024, "Monocyte": 0.1585, "NK cell": 0.0474, "DC": 0.0025, "Other": 0.3202}, "first_cells": {"T cell": 0.4474, "B cell": 0.024, "Monocyte": 0.1585, "NK cell": 0.0474, "DC": 0.0025, "Other": 0.3202}, "final_mrna": {"T cell": 0.4645, "B cell": 0.0298, "Monocyte": 0.2756, "NK cell": 0.0547, "DC": 0.0078, "Other": 0.1677}, "first_mrna": {"T cell": 0.4645, "B cell": 0.0298, "Monocyte": 0.2756, "NK cell": 0.0547, "DC": 0.0078, "Other": 0.1677}}}, "lora": {"comp_l1": 0.2580442754044374, "coverage": 0.9280555555555555}, "broadcast": {}}
31
+ # CIBERSORTx with the same paired donors vs LoRA (paired benchmark; gene mode cibersortx)
32
+
33
+ CIBERSORTx in place of BayesPrism ('BP' columns): official Docker Fractions, single-cell reference (<=400 cells per type from the same paired donors) with S-mode batch correction, then HiRes per-sample cell-type expression on the scoring genes (tools/run_cibersortx.sh). One fraction estimate, so 'final' = 'first'. HiRes needs more samples than cell types: splits with <= 8 test samples (Ji and Giroux CV folds) have composition only.
34
+
35
+ Same donors, observed truth, contrast and scorer as the benchmark (score_ft.py functions; the recomputed bulk broadcast equals the stored one in every split). BayesPrism reference = the split's paired donors' observed cells (states = gate | AIFI L2); mixture = the test samples' real bulk. Composition L1 in cell units (lower is better): 'final' and 'first' BayesPrism theta. logFC r = case-vs-control per-type logFC (mean CP10K) correlation with observed, mean of T/B/Mono/NK; BayesPrism Z zero-filled on genes it lacks ('covered' = only genes it models, broadcast recomputed there). DEG = top-50 overlap summed over types.
36
+
37
+ ## Five-donor draws (mean ± SD over 5 draws)
38
+
39
+ | cohort | L1 BP final | L1 BP first | L1 LoRA-5 | r BP | r BP (covered) | r LoRA-5 | r broadcast | partial r BP | partial r LoRA-5 | DEG BP | DEG LoRA-5 | DEG broadcast |
40
+ |---|---:|---:|---:|---:|---:|---:|---:|---:|---:|---:|---:|---:|
41
+ | ImMicro (5) | 0.491 ± 0.095 | 0.491 ± 0.095 | 0.176 ± 0.012 | – | – | – | – | – | – | – | – | – |
42
+ | Sepsis (5) | 0.582 ± 0.024 | 0.582 ± 0.024 | 0.466 ± 0.044 | 0.069 ± 0.023 | 0.106 ± 0.043 | 0.350 ± 0.162 | 0.320 ± 0.024 | -0.010 ± 0.026 | 0.305 ± 0.189 | 25.4 ± 3.4 | 16.4 ± 6.7 | 20.0 ± 1.9 |
43
+ | Ji ChILI (5) | 0.827 ± 0.145 | 0.827 ± 0.145 | 0.513 ± 0.115 | 0.158 ± 0.054 | 0.263 ± 0.071 | 0.333 ± 0.077 | 0.234 ± 0.026 | 0.005 ± 0.046 | 0.300 ± 0.076 | 0.0 ± 0.0 | 0.2 ± 0.4 | 1.0 ± 2.2 |
44
+ | Imperial (5) | 0.646 ± 0.026 | 0.646 ± 0.026 | 0.503 ± 0.022 | 0.283 ± 0.011 | 0.363 ± 0.016 | 0.749 ± 0.024 | 0.656 ± 0.009 | 0.061 ± 0.014 | 0.603 ± 0.033 | 30.8 ± 4.6 | 113.6 ± 6.3 | 74.8 ± 7.7 |
45
+ | Giroux (5) | 0.669 ± 0.124 | 0.669 ± 0.124 | 0.256 ± 0.030 | 0.095 ± 0.050 | 0.201 ± 0.088 | 0.297 ± 0.082 | 0.492 ± 0.085 | 0.029 ± 0.011 | 0.189 ± 0.054 | 0.0 ± 0.0 | 0.2 ± 0.4 | 0.0 ± 0.0 |
46
+
47
+ Draws where LoRA-5 beats CIBERSORTx: composition 24/25 (vs CIBERSORTx's better theta), logFC r 17/17, partial r 17/17, top-50 DEG 7/20 (ties 9).
48
+
49
+ ## 5-fold CV, pooled (CIBERSORTx reference = each fold's LoRA training + inner-validation pairs)
50
+
51
+ | cohort | L1 BP final | L1 BP first | L1 LoRA | L1 scSemi | r BP | r BP (covered) | r LoRA | r scSemi | r broadcast | partial r BP | partial r LoRA | DEG BP | DEG LoRA | DEG scSemi | DEG broadcast |
52
+ |---|---:|---:|---:|---:|---:|---:|---:|---:|---:|---:|---:|---:|---:|---:|---:|
53
+ | ImMicro | 0.507 | 0.507 | 0.162 | 0.217 | – | – | – | – | – | – | – | – | – | – | – |
54
+ | Sepsis | 0.607 | 0.607 | 0.362 | 0.502 | -0.036 | -0.125 | 0.527 | 0.435 | 0.316 | -0.074 | 0.469 | 0 | 23 | 6 | 21 |
55
+ | Ji ChILI | 0.914 | 0.914 | 0.504 | 0.575 | – | – | – | 0.273 | – | – | – | – | – | 0 | – |
56
+ | Imperial | 0.592 | 0.592 | 0.376 | – | 0.211 | 0.369 | 0.819 | – | 0.661 | 0.016 | 0.690 | 1 | 143 | – | 84 |
57
+ | Giroux | 0.591 | 0.591 | 0.258 | 0.243 | – | – | – | 0.537 | – | – | – | – | – | 0 | – |
58
+ {"dataset": "giroux2022", "comparison": "cv", "draw": null, "gene_mode": "full", "bayesprism": {"comp_l1": 1.8027760246078957, "comp_l1_by_variant": {"final_cells": 1.8027760246078957, "first_cells": 0.8778647964495544, "final_mrna": 1.6349594535077872, "first_mrna": 0.6061262872441106}, "mean_fraction": {"final_cells": {"T cell": 0.0, "B cell": 0.0035, "Monocyte": 0.0474, "NK cell": 0.0032, "DC": 0.0, "Other": 0.9459}, "first_cells": {"T cell": 0.476, "B cell": 0.0036, "Monocyte": 0.0804, "NK cell": 0.003, "DC": 0.0005, "Other": 0.4365}, "final_mrna": {"T cell": 0.0, "B cell": 0.0083, "Monocyte": 0.1352, "NK cell": 0.0067, "DC": 0.0, "Other": 0.8498}, "first_mrna": {"T cell": 0.5505, "B cell": 0.0054, "Monocyte": 0.1615, "NK cell": 0.0041, "DC": 0.0017, "Other": 0.2767}}, "logfc_r_mean_cp10k": 0.40594570910829286, "partial_r_mean_cp10k": 0.02157078325029122, "logfc_r_mean_cp10k_covered_genes": 0.40810658821060636, "deg_top50_sum": 3, "deg_top50_sum_covered_genes": 3, "per_type_logfc_r": {"T cell": 0.4601, "B cell": 0.2477, "Monocyte": 0.697, "NK cell": 0.219}}, "lora": {"comp_l1": 0.2580442754044374, "coverage": 0.9280555555555555, "logfc_r_mean_cp10k": 0.46094848304079133, "deg_top50_sum": 5, "partial_r_mean_cp10k": 0.3230347269696575}, "broadcast": {"logfc_r_mean_cp10k": 0.5752659929360795, "logfc_r_mean_cp10k_covered_genes": 0.5750505878963892, "deg_top50_sum": 5}}
59
+ # BayesPrism with the same paired donors vs LoRA (paired benchmark; gene mode full)
60
+
61
+ BayesPrism genes: its recommended set (canonical protein-coding minus chrX/Y/M and RPS/RPL/MRPS/MRPL, measured by the sc assay; 15-19k genes).
62
+
63
+ Same donors, observed truth, contrast and scorer as the benchmark (score_ft.py functions; the recomputed bulk broadcast equals the stored one in every split). BayesPrism reference = the split's paired donors' observed cells (states = gate | AIFI L2); mixture = the test samples' real bulk. Composition L1 in cell units (lower is better): 'final' and 'first' BayesPrism theta. logFC r = case-vs-control per-type logFC (mean CP10K) correlation with observed, mean of T/B/Mono/NK; BayesPrism Z zero-filled on genes it lacks ('covered' = only genes it models, broadcast recomputed there). DEG = top-50 overlap summed over types.
64
+
65
+ ## Five-donor draws (mean ± SD over 5 draws)
66
+
67
+ | cohort | L1 BP final | L1 BP first | L1 LoRA-5 | r BP | r BP (covered) | r LoRA-5 | r broadcast | partial r BP | partial r LoRA-5 | DEG BP | DEG LoRA-5 | DEG broadcast |
68
+ |---|---:|---:|---:|---:|---:|---:|---:|---:|---:|---:|---:|---:|
69
+ | ImMicro (5) | 0.594 ± 0.088 | 0.550 ± 0.164 | 0.176 ± 0.012 | – | – | – | – | – | – | – | – | – |
70
+ | Sepsis (5) | 0.643 ± 0.118 | 0.543 ± 0.218 | 0.466 ± 0.044 | 0.241 ± 0.035 | 0.258 ± 0.036 | 0.350 ± 0.162 | 0.320 ± 0.024 | 0.095 ± 0.035 | 0.305 ± 0.189 | 27.0 ± 2.0 | 16.4 ± 6.7 | 20.0 ± 1.9 |
71
+ | Ji ChILI (5) | 0.943 ± 0.117 | 0.952 ± 0.161 | 0.513 ± 0.115 | 0.193 ± 0.013 | 0.212 ± 0.013 | 0.333 ± 0.077 | 0.234 ± 0.026 | 0.032 ± 0.020 | 0.300 ± 0.076 | 2.0 ± 2.4 | 0.2 ± 0.4 | 1.0 ± 2.2 |
72
+ | Imperial (5) | 0.962 ± 0.086 | 0.845 ± 0.063 | 0.503 ± 0.022 | 0.598 ± 0.033 | 0.614 ± 0.034 | 0.749 ± 0.024 | 0.656 ± 0.009 | 0.187 ± 0.039 | 0.603 ± 0.033 | 72.4 ± 10.1 | 113.6 ± 6.3 | 74.8 ± 7.7 |
73
+ | Giroux (5) | 1.807 ± 0.047 | 1.455 ± 0.361 | 0.256 ± 0.030 | 0.371 ± 0.060 | 0.374 ± 0.060 | 0.297 ± 0.082 | 0.492 ± 0.085 | 0.117 ± 0.060 | 0.189 ± 0.054 | 0.2 ± 0.4 | 0.2 ± 0.4 | 0.0 ± 0.0 |
74
+
75
+ Draws where LoRA-5 beats BayesPrism: composition 22/25 (vs BayesPrism's better theta), logFC r 15/20, partial r 18/20, top-50 DEG 6/20 (ties 6).
76
+
77
+ ## 5-fold CV, pooled (BayesPrism reference = each fold's LoRA training + inner-validation pairs)
78
+
79
+ | cohort | L1 BP final | L1 BP first | L1 LoRA | L1 scSemi | r BP | r BP (covered) | r LoRA | r scSemi | r broadcast | partial r BP | partial r LoRA | DEG BP | DEG LoRA | DEG scSemi | DEG broadcast |
80
+ |---|---:|---:|---:|---:|---:|---:|---:|---:|---:|---:|---:|---:|---:|---:|---:|
81
+ | ImMicro | 0.575 | 0.909 | 0.162 | 0.217 | – | – | – | – | – | – | – | – | – | – | – |
82
+ | Sepsis | 0.603 | 0.475 | 0.362 | 0.502 | 0.255 | 0.253 | 0.527 | 0.435 | 0.316 | 0.095 | 0.469 | 37 | 23 | 6 | 21 |
83
+ | Ji ChILI | 0.883 | 1.055 | 0.504 | 0.575 | 0.186 | 0.204 | 0.479 | 0.273 | 0.240 | 0.020 | 0.452 | 4 | 15 | 0 | 4 |
84
+ | Imperial | 0.887 | 1.022 | 0.376 | – | 0.568 | 0.584 | 0.819 | – | 0.661 | 0.112 | 0.690 | 91 | 143 | – | 84 |
85
+ | Giroux | 1.803 | 0.878 | 0.258 | 0.243 | 0.406 | 0.408 | 0.461 | 0.537 | 0.575 | 0.022 | 0.323 | 3 | 5 | 0 | 5 |
86
+ 2026-10-08T11:02:46 finalize_cx done; failed=0
paper-releases/pbisc-diffusion/updates/20261008T022410Z-deconv-scsemi-deck/diffusion/dataset/server_1/model8/plans/bayesprism_paired_20261006/logs/finalize_full_20261007T115524.log ADDED
@@ -0,0 +1,115 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {"dataset": "immicro", "comparison": "fewshot", "draw": 0, "gene_mode": "full", "bayesprism": {"comp_l1": 0.7007916840315994, "comp_l1_by_variant": {"final_cells": 0.7007916840315994, "first_cells": 0.7095725570550513, "final_mrna": 0.815240548471243, "first_mrna": 0.814890521008765}, "mean_fraction": {"final_cells": {"T cell": 0.3148, "B cell": 0.0786, "Monocyte": 0.2782, "NK cell": 0.2102, "DC": 0.0, "Other": 0.1182}, "first_cells": {"T cell": 0.312, "B cell": 0.0665, "Monocyte": 0.269, "NK cell": 0.1823, "DC": 0.0052, "Other": 0.1649}, "final_mrna": {"T cell": 0.2632, "B cell": 0.0675, "Monocyte": 0.3893, "NK cell": 0.1734, "DC": 0.0, "Other": 0.1067}, "first_mrna": {"T cell": 0.2585, "B cell": 0.0567, "Monocyte": 0.3738, "NK cell": 0.1494, "DC": 0.014, "Other": 0.1476}}}, "lora": {"comp_l1": 0.18149050759378063, "coverage": 0.8003921568627451}, "broadcast": {}}
2
+ {"dataset": "immicro", "comparison": "fewshot", "draw": 1, "gene_mode": "full", "bayesprism": {"comp_l1": 0.5867840853021318, "comp_l1_by_variant": {"final_cells": 0.5867840853021318, "first_cells": 0.5568722574151432, "final_mrna": 0.7188819104413758, "first_mrna": 0.7036569529162466}, "mean_fraction": {"final_cells": {"T cell": 0.3706, "B cell": 0.0941, "Monocyte": 0.2505, "NK cell": 0.2702, "DC": 0.0002, "Other": 0.0145}, "first_cells": {"T cell": 0.3718, "B cell": 0.0865, "Monocyte": 0.2369, "NK cell": 0.1995, "DC": 0.0144, "Other": 0.091}, "final_mrna": {"T cell": 0.3066, "B cell": 0.0845, "Monocyte": 0.3642, "NK cell": 0.2272, "DC": 0.0004, "Other": 0.0171}, "first_mrna": {"T cell": 0.2944, "B cell": 0.0742, "Monocyte": 0.3303, "NK cell": 0.1612, "DC": 0.0374, "Other": 0.1025}}}, "lora": {"comp_l1": 0.1566780422080866, "coverage": 0.8619607843137255}, "broadcast": {}}
3
+ {"dataset": "immicro", "comparison": "fewshot", "draw": 2, "gene_mode": "full", "bayesprism": {"comp_l1": 0.4799919108625404, "comp_l1_by_variant": {"final_cells": 0.4799919108625404, "first_cells": 0.42350657413858, "final_mrna": 0.6284356141851742, "first_mrna": 0.602894578776955}, "mean_fraction": {"final_cells": {"T cell": 0.423, "B cell": 0.1159, "Monocyte": 0.2833, "NK cell": 0.1592, "DC": 0.0, "Other": 0.0187}, "first_cells": {"T cell": 0.4593, "B cell": 0.0995, "Monocyte": 0.2756, "NK cell": 0.0867, "DC": 0.0118, "Other": 0.067}, "final_mrna": {"T cell": 0.3503, "B cell": 0.1028, "Monocyte": 0.3859, "NK cell": 0.1384, "DC": 0.0, "Other": 0.0225}, "first_mrna": {"T cell": 0.3678, "B cell": 0.0854, "Monocyte": 0.3636, "NK cell": 0.0735, "DC": 0.0316, "Other": 0.078}}}, "lora": {"comp_l1": 0.17248763359752534, "coverage": 0.7860784313725491}, "broadcast": {}}
4
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+ {"dataset": "ji2025_chili", "comparison": "fewshot", "draw": 4, "gene_mode": "full", "bayesprism": {"comp_l1": 0.9466385287537468, "comp_l1_by_variant": {"final_cells": 0.9466385287537468, "first_cells": 1.0782392660957625, "final_mrna": 1.0286173381490102, "first_mrna": 1.1182747575298582}, "mean_fraction": {"final_cells": {"T cell": 0.1023, "B cell": 0.0136, "Monocyte": 0.4361, "NK cell": 0.1295, "DC": 0.0001, "Other": 0.3184}, "first_cells": {"T cell": 0.0543, "B cell": 0.021, "Monocyte": 0.3729, "NK cell": 0.1003, "DC": 0.0036, "Other": 0.448}, "final_mrna": {"T cell": 0.0744, "B cell": 0.0114, "Monocyte": 0.5472, "NK cell": 0.0978, "DC": 0.0002, "Other": 0.2689}, "first_mrna": {"T cell": 0.0401, "B cell": 0.0178, "Monocyte": 0.4747, "NK cell": 0.0773, "DC": 0.0072, "Other": 0.3829}}, "logfc_r_mean_cp10k": 0.20855067405616556, "partial_r_mean_cp10k": 0.06023029706134373, "logfc_r_mean_cp10k_covered_genes": 0.22223209873735827, "deg_top50_sum": 6, "deg_top50_sum_covered_genes": 6, "per_type_logfc_r": {"T cell": 0.2212, "B cell": 0.0892, "Monocyte": 0.3996, "NK cell": 0.1241}}, "lora": {"comp_l1": 0.6754540168870949, "coverage": 0.6936111111111111, "logfc_r_mean_cp10k": 0.2725492074488929, "deg_top50_sum": 0, "partial_r_mean_cp10k": 0.2467295164617603}, "broadcast": {"logfc_r_mean_cp10k": 0.2254541110690231, "logfc_r_mean_cp10k_covered_genes": 0.20567177326138197, "deg_top50_sum": 0}}
18
+ {"dataset": "ji2025_chili", "comparison": "cv", "draw": null, "gene_mode": "full", "bayesprism": {"comp_l1": 0.8832571878464304, "comp_l1_by_variant": {"final_cells": 0.8832571878464304, "first_cells": 1.054524674985768, "final_mrna": 0.9682739565208177, "first_mrna": 1.090436343830929}, "mean_fraction": {"final_cells": {"T cell": 0.1485, "B cell": 0.0349, "Monocyte": 0.439, "NK cell": 0.1172, "DC": 0.0, "Other": 0.2603}, "first_cells": {"T cell": 0.0667, "B cell": 0.0463, "Monocyte": 0.4003, "NK cell": 0.107, "DC": 0.004, "Other": 0.3758}, "final_mrna": {"T cell": 0.1095, "B cell": 0.0305, "Monocyte": 0.533, "NK cell": 0.0989, "DC": 0.0, "Other": 0.2281}, "first_mrna": {"T cell": 0.0491, "B cell": 0.0402, "Monocyte": 0.4858, "NK cell": 0.0904, "DC": 0.0073, "Other": 0.3273}}, "logfc_r_mean_cp10k": 0.1857896942054881, "partial_r_mean_cp10k": 0.02042361532730819, "logfc_r_mean_cp10k_covered_genes": 0.20352470183066124, "deg_top50_sum": 4, "deg_top50_sum_covered_genes": 4, "per_type_logfc_r": {"T cell": 0.0981, "B cell": 0.1015, "Monocyte": 0.4403, "NK cell": 0.1032}}, "lora": {"comp_l1": 0.5044992874562503, "coverage": 0.8569696969696969, "logfc_r_mean_cp10k": 0.47928798340225065, "deg_top50_sum": 15, "partial_r_mean_cp10k": 0.45204372964017614}, "broadcast": {"logfc_r_mean_cp10k": 0.2398746224459366, "logfc_r_mean_cp10k_covered_genes": 0.21227266152493962, "deg_top50_sum": 4}}
19
+ {"dataset": "imperial_eskd", "comparison": "fewshot", "draw": 0, "gene_mode": "full", "bayesprism": {"comp_l1": 0.8957788100091341, "comp_l1_by_variant": {"final_cells": 0.8957788100091341, "first_cells": 0.8765853960075755, "final_mrna": 0.95537545454213, "first_mrna": 0.9349594829818466}, "mean_fraction": {"final_cells": {"T cell": 0.1575, "B cell": 0.0718, "Monocyte": 0.4202, "NK cell": 0.3076, "DC": 0.0, "Other": 0.0429}, "first_cells": {"T cell": 0.1746, "B cell": 0.0619, "Monocyte": 0.3745, "NK cell": 0.2784, "DC": 0.002, "Other": 0.1085}, "final_mrna": {"T cell": 0.1391, "B cell": 0.065, "Monocyte": 0.5011, "NK cell": 0.2505, "DC": 0.0, "Other": 0.0444}, "first_mrna": {"T cell": 0.1534, "B cell": 0.0557, "Monocyte": 0.4471, "NK cell": 0.2257, "DC": 0.0041, "Other": 0.114}}, "logfc_r_mean_cp10k": 0.5470924059966005, "partial_r_mean_cp10k": 0.14182291896129892, "logfc_r_mean_cp10k_covered_genes": 0.5628313966391009, "deg_top50_sum": 69, "deg_top50_sum_covered_genes": 69, "per_type_logfc_r": {"T cell": 0.3454, "B cell": 0.4034, "Monocyte": 0.7794, "NK cell": 0.6602}}, "lora": {"comp_l1": 0.478123841402283, "coverage": 0.7569882352941176, "logfc_r_mean_cp10k": 0.7798976158583719, "deg_top50_sum": 116, "partial_r_mean_cp10k": 0.6572469324283057}, "broadcast": {"logfc_r_mean_cp10k": 0.6675205927010471, "logfc_r_mean_cp10k_covered_genes": 0.6421025910411589, "deg_top50_sum": 71}}
20
+ {"dataset": "imperial_eskd", "comparison": "fewshot", "draw": 1, "gene_mode": "full", "bayesprism": {"comp_l1": 0.8669666123219886, "comp_l1_by_variant": {"final_cells": 0.8669666123219886, "first_cells": 0.7828028234686116, "final_mrna": 0.9179817848274487, "first_mrna": 0.8369822582344331}, "mean_fraction": {"final_cells": {"T cell": 0.1939, "B cell": 0.0613, "Monocyte": 0.4637, "NK cell": 0.1948, "DC": 0.0001, "Other": 0.0862}, "first_cells": {"T cell": 0.2427, "B cell": 0.0738, "Monocyte": 0.4325, "NK cell": 0.1526, "DC": 0.0038, "Other": 0.0945}, "final_mrna": {"T cell": 0.1739, "B cell": 0.0625, "Monocyte": 0.505, "NK cell": 0.1738, "DC": 0.0002, "Other": 0.0846}, "first_mrna": {"T cell": 0.2167, "B cell": 0.075, "Monocyte": 0.4709, "NK cell": 0.1359, "DC": 0.0083, "Other": 0.0931}}, "logfc_r_mean_cp10k": 0.6011240709020645, "partial_r_mean_cp10k": 0.16810212249149087, "logfc_r_mean_cp10k_covered_genes": 0.6171797170441768, "deg_top50_sum": 84, "deg_top50_sum_covered_genes": 84, "per_type_logfc_r": {"T cell": 0.4842, "B cell": 0.5048, "Monocyte": 0.7319, "NK cell": 0.6837}}, "lora": {"comp_l1": 0.5160151799648663, "coverage": 0.7829399392381398, "logfc_r_mean_cp10k": 0.7570901930571807, "deg_top50_sum": 119, "partial_r_mean_cp10k": 0.6045509566158934}, "broadcast": {"logfc_r_mean_cp10k": 0.6611787175621116, "logfc_r_mean_cp10k_covered_genes": 0.6392773401191326, "deg_top50_sum": 86}}
21
+ {"dataset": "imperial_eskd", "comparison": "fewshot", "draw": 2, "gene_mode": "full", "bayesprism": {"comp_l1": 1.0746755972820878, "comp_l1_by_variant": {"final_cells": 1.0746755972820878, "first_cells": 0.9140352155911764, "final_mrna": 1.0707300051604167, "first_mrna": 0.9163685989527076}, "mean_fraction": {"final_cells": {"T cell": 0.0717, "B cell": 0.0679, "Monocyte": 0.4234, "NK cell": 0.4169, "DC": 0.0007, "Other": 0.0193}, "first_cells": {"T cell": 0.1228, "B cell": 0.129, "Monocyte": 0.395, "NK cell": 0.3183, "DC": 0.0033, "Other": 0.0315}, "final_mrna": {"T cell": 0.0723, "B cell": 0.072, "Monocyte": 0.4791, "NK cell": 0.3518, "DC": 0.0013, "Other": 0.0234}, "first_mrna": {"T cell": 0.1206, "B cell": 0.134, "Monocyte": 0.4382, "NK cell": 0.2633, "DC": 0.0059, "Other": 0.038}}, "logfc_r_mean_cp10k": 0.6262155054888472, "partial_r_mean_cp10k": 0.2452434738376227, "logfc_r_mean_cp10k_covered_genes": 0.6427760822631663, "deg_top50_sum": 66, "deg_top50_sum_covered_genes": 66, "per_type_logfc_r": {"T cell": 0.5239, "B cell": 0.5738, "Monocyte": 0.7063, "NK cell": 0.7008}}, "lora": {"comp_l1": 0.5117644876225123, "coverage": 0.6650339110776187, "logfc_r_mean_cp10k": 0.7139546009415169, "deg_top50_sum": 103, "partial_r_mean_cp10k": 0.5764372157359006}, "broadcast": {"logfc_r_mean_cp10k": 0.6433613217171205, "logfc_r_mean_cp10k_covered_genes": 0.6214466618353787, "deg_top50_sum": 65}}
22
+ {"dataset": "imperial_eskd", "comparison": "fewshot", "draw": 3, "gene_mode": "full", "bayesprism": {"comp_l1": 0.952439303710189, "comp_l1_by_variant": {"final_cells": 0.952439303710189, "first_cells": 0.7721033215822146, "final_mrna": 0.9896097918791011, "first_mrna": 0.8395719977060822}, "mean_fraction": {"final_cells": {"T cell": 0.1546, "B cell": 0.0314, "Monocyte": 0.3397, "NK cell": 0.3999, "DC": 0.0037, "Other": 0.0707}, "first_cells": {"T cell": 0.2373, "B cell": 0.0482, "Monocyte": 0.3242, "NK cell": 0.2801, "DC": 0.0106, "Other": 0.0995}, "final_mrna": {"T cell": 0.1267, "B cell": 0.0361, "Monocyte": 0.4376, "NK cell": 0.3193, "DC": 0.0071, "Other": 0.0732}, "first_mrna": {"T cell": 0.1899, "B cell": 0.0546, "Monocyte": 0.4124, "NK cell": 0.2203, "DC": 0.0197, "Other": 0.1031}}, "logfc_r_mean_cp10k": 0.5854045807968098, "partial_r_mean_cp10k": 0.17783522904041, "logfc_r_mean_cp10k_covered_genes": 0.599454910013415, "deg_top50_sum": 61, "deg_top50_sum_covered_genes": 61, "per_type_logfc_r": {"T cell": 0.5127, "B cell": 0.4339, "Monocyte": 0.7062, "NK cell": 0.6888}}, "lora": {"comp_l1": 0.5275199844470723, "coverage": 0.842680564523568, "logfc_r_mean_cp10k": 0.7455905986374256, "deg_top50_sum": 117, "partial_r_mean_cp10k": 0.6007400715066787}, "broadcast": {"logfc_r_mean_cp10k": 0.6538959233815048, "logfc_r_mean_cp10k_covered_genes": 0.6314051959325884, "deg_top50_sum": 76}}
23
+ {"dataset": "imperial_eskd", "comparison": "fewshot", "draw": 4, "gene_mode": "full", "bayesprism": {"comp_l1": 1.0185576195402575, "comp_l1_by_variant": {"final_cells": 1.0185576195402575, "first_cells": 0.877165890125515, "final_mrna": 1.0429716754877905, "first_mrna": 0.9348379138470198}, "mean_fraction": {"final_cells": {"T cell": 0.1003, "B cell": 0.0549, "Monocyte": 0.4304, "NK cell": 0.3817, "DC": 0.0001, "Other": 0.0326}, "first_cells": {"T cell": 0.1731, "B cell": 0.0692, "Monocyte": 0.3986, "NK cell": 0.2692, "DC": 0.0027, "Other": 0.0872}, "final_mrna": {"T cell": 0.0893, "B cell": 0.0588, "Monocyte": 0.5093, "NK cell": 0.3013, "DC": 0.0001, "Other": 0.0412}, "first_mrna": {"T cell": 0.1473, "B cell": 0.0717, "Monocyte": 0.4595, "NK cell": 0.2069, "DC": 0.0047, "Other": 0.1099}}, "logfc_r_mean_cp10k": 0.6282271395994876, "partial_r_mean_cp10k": 0.20003452036960517, "logfc_r_mean_cp10k_covered_genes": 0.6456639661993082, "deg_top50_sum": 82, "deg_top50_sum_covered_genes": 82, "per_type_logfc_r": {"T cell": 0.5729, "B cell": 0.5332, "Monocyte": 0.7243, "NK cell": 0.6825}}, "lora": {"comp_l1": 0.48142813711177446, "coverage": 0.6369376110747358, "logfc_r_mean_cp10k": 0.7492433446082651, "deg_top50_sum": 113, "partial_r_mean_cp10k": 0.575230848198632}, "broadcast": {"logfc_r_mean_cp10k": 0.6565426449733607, "logfc_r_mean_cp10k_covered_genes": 0.6340865519335486, "deg_top50_sum": 76}}
24
+ {"dataset": "imperial_eskd", "comparison": "cv", "draw": null, "gene_mode": "full", "bayesprism": {"comp_l1": 0.8870870830413495, "comp_l1_by_variant": {"final_cells": 0.8870870830413495, "first_cells": 1.0215635566013643, "final_mrna": 0.9300862395332192, "first_mrna": 1.0602851494967092}, "mean_fraction": {"final_cells": {"T cell": 0.1721, "B cell": 0.0612, "Monocyte": 0.4002, "NK cell": 0.3518, "DC": 0.0006, "Other": 0.014}, "first_cells": {"T cell": 0.0801, "B cell": 0.0973, "Monocyte": 0.3567, "NK cell": 0.2763, "DC": 0.0018, "Other": 0.1878}, "final_mrna": {"T cell": 0.149, "B cell": 0.0657, "Monocyte": 0.4861, "NK cell": 0.2819, "DC": 0.0012, "Other": 0.0161}, "first_mrna": {"T cell": 0.066, "B cell": 0.0997, "Monocyte": 0.4149, "NK cell": 0.212, "DC": 0.0032, "Other": 0.2041}}, "logfc_r_mean_cp10k": 0.5684615839866303, "partial_r_mean_cp10k": 0.11228628082302743, "logfc_r_mean_cp10k_covered_genes": 0.5843506673991777, "deg_top50_sum": 91, "deg_top50_sum_covered_genes": 91, "per_type_logfc_r": {"T cell": 0.3768, "B cell": 0.5227, "Monocyte": 0.7265, "NK cell": 0.6478}}, "lora": {"comp_l1": 0.37638560875745664, "coverage": 0.8500127757431224, "logfc_r_mean_cp10k": 0.8187448084273437, "deg_top50_sum": 143, "partial_r_mean_cp10k": 0.6899314750539278}, "broadcast": {"logfc_r_mean_cp10k": 0.6606053132085035, "logfc_r_mean_cp10k_covered_genes": 0.6388431994811914, "deg_top50_sum": 84}}
25
+ {"dataset": "giroux2022", "comparison": "fewshot", "draw": 0, "gene_mode": "full", "bayesprism": {"comp_l1": 1.823568204154302, "comp_l1_by_variant": {"final_cells": 1.823568204154302, "first_cells": 1.760300271065443, "final_mrna": 1.6664742276631346, "first_mrna": 1.5655893271691574}, "mean_fraction": {"final_cells": {"T cell": 0.0, "B cell": 0.0015, "Monocyte": 0.0358, "NK cell": 0.0, "DC": 0.0, "Other": 0.9627}, "first_cells": {"T cell": 0.0421, "B cell": 0.0021, "Monocyte": 0.0246, "NK cell": 0.0, "DC": 0.0001, "Other": 0.9311}, "final_mrna": {"T cell": 0.0, "B cell": 0.0039, "Monocyte": 0.114, "NK cell": 0.0, "DC": 0.0, "Other": 0.8821}, "first_mrna": {"T cell": 0.0795, "B cell": 0.0052, "Monocyte": 0.081, "NK cell": 0.0001, "DC": 0.0005, "Other": 0.8337}}, "logfc_r_mean_cp10k": 0.32005331944484905, "partial_r_mean_cp10k": 0.041926780978093464, "logfc_r_mean_cp10k_covered_genes": 0.32210509323752057, "deg_top50_sum": 0, "deg_top50_sum_covered_genes": 0, "per_type_logfc_r": {"T cell": 0.445, "B cell": 0.2105, "Monocyte": 0.4517, "NK cell": 0.173}}, "lora": {"comp_l1": 0.27193277679338645, "coverage": 0.96, "logfc_r_mean_cp10k": 0.243392212681724, "deg_top50_sum": 0, "partial_r_mean_cp10k": 0.15035969319388034}, "broadcast": {"logfc_r_mean_cp10k": 0.4709654147613206, "logfc_r_mean_cp10k_covered_genes": 0.4703882003663197, "deg_top50_sum": 0}}
26
+ {"dataset": "giroux2022", "comparison": "fewshot", "draw": 1, "gene_mode": "full", "bayesprism": {"comp_l1": 1.7796487879351197, "comp_l1_by_variant": {"final_cells": 1.7796487879351197, "first_cells": 1.7057827896282756, "final_mrna": 1.5946579220285848, "first_mrna": 1.4720716270797947}, "mean_fraction": {"final_cells": {"T cell": 0.0, "B cell": 0.0, "Monocyte": 0.0543, "NK cell": 0.0, "DC": 0.0, "Other": 0.9456}, "first_cells": {"T cell": 0.0536, "B cell": 0.0002, "Monocyte": 0.0376, "NK cell": 0.0, "DC": 0.0, "Other": 0.9087}, "final_mrna": {"T cell": 0.0, "B cell": 0.0001, "Monocyte": 0.1622, "NK cell": 0.0, "DC": 0.0, "Other": 0.8377}, "first_mrna": {"T cell": 0.0972, "B cell": 0.0004, "Monocyte": 0.115, "NK cell": 0.0, "DC": 0.0, "Other": 0.7874}}, "logfc_r_mean_cp10k": 0.322615216302418, "partial_r_mean_cp10k": 0.0674219104283513, "logfc_r_mean_cp10k_covered_genes": 0.324889934518131, "deg_top50_sum": 0, "deg_top50_sum_covered_genes": 0, "per_type_logfc_r": {"T cell": 0.5273, "B cell": 0.136, "Monocyte": 0.4721, "NK cell": 0.155}}, "lora": {"comp_l1": 0.22320689222847964, "coverage": 0.9526666666666667, "logfc_r_mean_cp10k": 0.35634959703435354, "deg_top50_sum": 1, "partial_r_mean_cp10k": 0.2523250741286013}, "broadcast": {"logfc_r_mean_cp10k": 0.5012527613870964, "logfc_r_mean_cp10k_covered_genes": 0.5013392952006742, "deg_top50_sum": 0}}
27
+ {"dataset": "giroux2022", "comparison": "fewshot", "draw": 2, "gene_mode": "full", "bayesprism": {"comp_l1": 1.8513410332082703, "comp_l1_by_variant": {"final_cells": 1.8513410332082703, "first_cells": 1.6162854136223028, "final_mrna": 1.7150234163461275, "first_mrna": 1.312386424804014}, "mean_fraction": {"final_cells": {"T cell": 0.0, "B cell": 0.0024, "Monocyte": 0.033, "NK cell": 0.0001, "DC": 0.0, "Other": 0.9645}, "first_cells": {"T cell": 0.1199, "B cell": 0.0028, "Monocyte": 0.0297, "NK cell": 0.0005, "DC": 0.0001, "Other": 0.847}, "final_mrna": {"T cell": 0.0, "B cell": 0.0065, "Monocyte": 0.0994, "NK cell": 0.0003, "DC": 0.0, "Other": 0.8939}, "first_mrna": {"T cell": 0.2109, "B cell": 0.0066, "Monocyte": 0.0858, "NK cell": 0.001, "DC": 0.0005, "Other": 0.6951}}, "logfc_r_mean_cp10k": 0.3505858518250693, "partial_r_mean_cp10k": 0.12928822148729102, "logfc_r_mean_cp10k_covered_genes": 0.352626835275316, "deg_top50_sum": 1, "deg_top50_sum_covered_genes": 1, "per_type_logfc_r": {"T cell": 0.371, "B cell": 0.28, "Monocyte": 0.6126, "NK cell": 0.1388}}, "lora": {"comp_l1": 0.2907494763185344, "coverage": 0.9533333333333334, "logfc_r_mean_cp10k": 0.230513969445487, "deg_top50_sum": 0, "partial_r_mean_cp10k": 0.15040912208962715}, "broadcast": {"logfc_r_mean_cp10k": 0.39643909018360535, "logfc_r_mean_cp10k_covered_genes": 0.39718518838668054, "deg_top50_sum": 0}}
28
+ {"dataset": "giroux2022", "comparison": "fewshot", "draw": 3, "gene_mode": "full", "bayesprism": {"comp_l1": 1.8433952838578165, "comp_l1_by_variant": {"final_cells": 1.8433952838578165, "first_cells": 1.302936224569384, "final_mrna": 1.709759632389227, "first_mrna": 0.9231549241386623}, "mean_fraction": {"final_cells": {"T cell": 0.0, "B cell": 0.0029, "Monocyte": 0.0323, "NK cell": 0.0003, "DC": 0.0, "Other": 0.9644}, "first_cells": {"T cell": 0.2555, "B cell": 0.0035, "Monocyte": 0.046, "NK cell": 0.0007, "DC": 0.0001, "Other": 0.6942}, "final_mrna": {"T cell": 0.0, "B cell": 0.0079, "Monocyte": 0.1099, "NK cell": 0.0007, "DC": 0.0, "Other": 0.8815}, "first_mrna": {"T cell": 0.3747, "B cell": 0.0072, "Monocyte": 0.1269, "NK cell": 0.0012, "DC": 0.0007, "Other": 0.4893}}, "logfc_r_mean_cp10k": 0.4037329126226964, "partial_r_mean_cp10k": 0.17056815748180337, "logfc_r_mean_cp10k_covered_genes": 0.40616851567557477, "deg_top50_sum": 0, "deg_top50_sum_covered_genes": 0, "per_type_logfc_r": {"T cell": 0.5101, "B cell": 0.3237, "Monocyte": 0.6215, "NK cell": 0.1596}}, "lora": {"comp_l1": 0.2688359990061283, "coverage": 0.9624242424242424, "logfc_r_mean_cp10k": 0.24186295766157903, "deg_top50_sum": 0, "partial_r_mean_cp10k": 0.14697551642627654}, "broadcast": {"logfc_r_mean_cp10k": 0.4657480400911531, "logfc_r_mean_cp10k_covered_genes": 0.46502199547649703, "deg_top50_sum": 0}}
29
+ {"dataset": "giroux2022", "comparison": "fewshot", "draw": 4, "gene_mode": "full", "bayesprism": {"comp_l1": 1.7394178030068272, "comp_l1_by_variant": {"final_cells": 1.7394178030068272, "first_cells": 0.8918817885623647, "final_mrna": 1.5197459592589615, "first_mrna": 0.5507970141863743}, "mean_fraction": {"final_cells": {"T cell": 0.0, "B cell": 0.0019, "Monocyte": 0.072, "NK cell": 0.0057, "DC": 0.0, "Other": 0.9203}, "first_cells": {"T cell": 0.4551, "B cell": 0.0014, "Monocyte": 0.0998, "NK cell": 0.0026, "DC": 0.0003, "Other": 0.4409}, "final_mrna": {"T cell": 0.0, "B cell": 0.0043, "Monocyte": 0.1757, "NK cell": 0.0106, "DC": 0.0, "Other": 0.8094}, "first_mrna": {"T cell": 0.5322, "B cell": 0.0021, "Monocyte": 0.1773, "NK cell": 0.0038, "DC": 0.0009, "Other": 0.2836}}, "logfc_r_mean_cp10k": 0.4600865296295808, "partial_r_mean_cp10k": 0.17404564011140683, "logfc_r_mean_cp10k_covered_genes": 0.46209174837758643, "deg_top50_sum": 0, "deg_top50_sum_covered_genes": 0, "per_type_logfc_r": {"T cell": 0.5901, "B cell": 0.2809, "Monocyte": 0.7588, "NK cell": 0.2106}}, "lora": {"comp_l1": 0.2274734478129418, "coverage": 0.9766666666666667, "logfc_r_mean_cp10k": 0.41085265458568265, "deg_top50_sum": 0, "partial_r_mean_cp10k": 0.24279747694617004}, "broadcast": {"logfc_r_mean_cp10k": 0.6280870820074911, "logfc_r_mean_cp10k_covered_genes": 0.6293022636855459, "deg_top50_sum": 0}}
30
+ {"dataset": "giroux2022", "comparison": "cv", "draw": null, "gene_mode": "full", "bayesprism": {"comp_l1": 1.8027760246078957, "comp_l1_by_variant": {"final_cells": 1.8027760246078957, "first_cells": 0.8778647964495544, "final_mrna": 1.6349594535077872, "first_mrna": 0.6061262872441106}, "mean_fraction": {"final_cells": {"T cell": 0.0, "B cell": 0.0035, "Monocyte": 0.0474, "NK cell": 0.0032, "DC": 0.0, "Other": 0.9459}, "first_cells": {"T cell": 0.476, "B cell": 0.0036, "Monocyte": 0.0804, "NK cell": 0.003, "DC": 0.0005, "Other": 0.4365}, "final_mrna": {"T cell": 0.0, "B cell": 0.0083, "Monocyte": 0.1352, "NK cell": 0.0067, "DC": 0.0, "Other": 0.8498}, "first_mrna": {"T cell": 0.5505, "B cell": 0.0054, "Monocyte": 0.1615, "NK cell": 0.0041, "DC": 0.0017, "Other": 0.2767}}, "logfc_r_mean_cp10k": 0.40594570910829286, "partial_r_mean_cp10k": 0.02157078325029122, "logfc_r_mean_cp10k_covered_genes": 0.40810658821060636, "deg_top50_sum": 3, "deg_top50_sum_covered_genes": 3, "per_type_logfc_r": {"T cell": 0.4601, "B cell": 0.2477, "Monocyte": 0.697, "NK cell": 0.219}}, "lora": {"comp_l1": 0.2580442754044374, "coverage": 0.9280555555555555, "logfc_r_mean_cp10k": 0.46094848304079133, "deg_top50_sum": 5, "partial_r_mean_cp10k": 0.3230347269696575}, "broadcast": {"logfc_r_mean_cp10k": 0.5752659929360795, "logfc_r_mean_cp10k_covered_genes": 0.5750505878963892, "deg_top50_sum": 5}}
31
+ # BayesPrism with the same paired donors vs LoRA (paired benchmark; gene mode full)
32
+
33
+ BayesPrism genes: its recommended set (canonical protein-coding minus chrX/Y/M and RPS/RPL/MRPS/MRPL, measured by the sc assay; 15-19k genes).
34
+
35
+ Same donors, observed truth, contrast and scorer as the benchmark (score_ft.py functions; the recomputed bulk broadcast equals the stored one in every split). BayesPrism reference = the split's paired donors' observed cells (states = gate | AIFI L2); mixture = the test samples' real bulk. Composition L1 in cell units (lower is better): 'final' and 'first' BayesPrism theta. logFC r = case-vs-control per-type logFC (mean CP10K) correlation with observed, mean of T/B/Mono/NK; BayesPrism Z zero-filled on genes it lacks ('covered' = only genes it models, broadcast recomputed there). DEG = top-50 overlap summed over types.
36
+
37
+ ## Five-donor draws (mean ± SD over 5 draws)
38
+
39
+ | cohort | L1 BP final | L1 BP first | L1 LoRA-5 | r BP | r BP (covered) | r LoRA-5 | r broadcast | partial r BP | partial r LoRA-5 | DEG BP | DEG LoRA-5 | DEG broadcast |
40
+ |---|---:|---:|---:|---:|---:|---:|---:|---:|---:|---:|---:|---:|
41
+ | ImMicro (5) | 0.594 ± 0.088 | 0.550 ± 0.164 | 0.176 ± 0.012 | – | – | – | – | – | – | – | – | – |
42
+ | Sepsis (5) | 0.643 ± 0.118 | 0.543 ± 0.218 | 0.466 ± 0.044 | 0.241 ± 0.035 | 0.258 ± 0.036 | 0.350 ± 0.162 | 0.320 ± 0.024 | 0.095 ± 0.035 | 0.305 ± 0.189 | 27.0 ± 2.0 | 16.4 ± 6.7 | 20.0 ± 1.9 |
43
+ | Ji ChILI (5) | 0.943 ± 0.117 | 0.952 ± 0.161 | 0.513 ± 0.115 | 0.193 ± 0.013 | 0.212 ± 0.013 | 0.333 ± 0.077 | 0.234 ± 0.026 | 0.032 ± 0.020 | 0.300 ± 0.076 | 2.0 ± 2.4 | 0.2 ± 0.4 | 1.0 ± 2.2 |
44
+ | Imperial (5) | 0.962 ± 0.086 | 0.845 ± 0.063 | 0.503 ± 0.022 | 0.598 ± 0.033 | 0.614 ± 0.034 | 0.749 ± 0.024 | 0.656 ± 0.009 | 0.187 ± 0.039 | 0.603 ± 0.033 | 72.4 ± 10.1 | 113.6 ± 6.3 | 74.8 ± 7.7 |
45
+ | Giroux (5) | 1.807 ± 0.047 | 1.455 ± 0.361 | 0.256 ± 0.030 | 0.371 ± 0.060 | 0.374 ± 0.060 | 0.297 ± 0.082 | 0.492 ± 0.085 | 0.117 ± 0.060 | 0.189 ± 0.054 | 0.2 ± 0.4 | 0.2 ± 0.4 | 0.0 ± 0.0 |
46
+
47
+ Draws where LoRA-5 beats BayesPrism: composition 22/25 (vs BayesPrism's better theta), logFC r 15/20, partial r 18/20, top-50 DEG 6/20 (ties 6).
48
+
49
+ ## 5-fold CV, pooled (BayesPrism reference = each fold's LoRA training + inner-validation pairs)
50
+
51
+ | cohort | L1 BP final | L1 BP first | L1 LoRA | L1 scSemi | r BP | r BP (covered) | r LoRA | r scSemi | r broadcast | partial r BP | partial r LoRA | DEG BP | DEG LoRA | DEG scSemi | DEG broadcast |
52
+ |---|---:|---:|---:|---:|---:|---:|---:|---:|---:|---:|---:|---:|---:|---:|---:|
53
+ | ImMicro | 0.575 | 0.909 | 0.162 | 0.217 | – | – | – | – | – | – | – | – | – | – | – |
54
+ | Sepsis | 0.603 | 0.475 | 0.362 | – | 0.255 | 0.253 | 0.527 | – | 0.316 | 0.095 | 0.469 | 37 | 23 | – | 21 |
55
+ | Ji ChILI | 0.883 | 1.055 | 0.504 | 0.575 | 0.186 | 0.204 | 0.479 | 0.273 | 0.240 | 0.020 | 0.452 | 4 | 15 | 0 | 4 |
56
+ | Imperial | 0.887 | 1.022 | 0.376 | – | 0.568 | 0.584 | 0.819 | – | 0.661 | 0.112 | 0.690 | 91 | 143 | – | 84 |
57
+ | Giroux | 1.803 | 0.878 | 0.258 | – | 0.406 | 0.408 | 0.461 | – | 0.575 | 0.022 | 0.323 | 3 | 5 | – | 5 |
58
+ {"dataset": "immicro", "comparison": "fewshot", "draw": 0, "gene_mode": "score", "bayesprism": {"comp_l1": 1.3888441252388026, "comp_l1_by_variant": {"final_cells": 1.3888441252388026, "first_cells": 1.3494962860735726, "final_mrna": 1.376235368872937, "first_mrna": 1.3167613791422135}, "mean_fraction": {"final_cells": {"T cell": 0.0121, "B cell": 0.0287, "Monocyte": 0.3432, "NK cell": 0.5975, "DC": 0.0001, "Other": 0.0184}, "first_cells": {"T cell": 0.0261, "B cell": 0.0254, "Monocyte": 0.3404, "NK cell": 0.5061, "DC": 0.0083, "Other": 0.0937}, "final_mrna": {"T cell": 0.014, "B cell": 0.0331, "Monocyte": 0.4973, "NK cell": 0.435, "DC": 0.0002, "Other": 0.0204}, "first_mrna": {"T cell": 0.0283, "B cell": 0.0278, "Monocyte": 0.4706, "NK cell": 0.3508, "DC": 0.024, "Other": 0.0984}}}, "lora": {"comp_l1": 0.18149050759378063, "coverage": 0.8003921568627451}, "broadcast": {}}
59
+ {"dataset": "immicro", "comparison": "fewshot", "draw": 1, "gene_mode": "score", "bayesprism": {"comp_l1": 1.3444054950784279, "comp_l1_by_variant": {"final_cells": 1.3444054950784279, "first_cells": 1.172649629210488, "final_mrna": 1.3187337825164387, "first_mrna": 1.1330058893792956}, "mean_fraction": {"final_cells": {"T cell": 0.0337, "B cell": 0.0354, "Monocyte": 0.2861, "NK cell": 0.6423, "DC": 0.0015, "Other": 0.001}, "first_cells": {"T cell": 0.0934, "B cell": 0.0491, "Monocyte": 0.2866, "NK cell": 0.555, "DC": 0.0113, "Other": 0.0045}, "final_mrna": {"T cell": 0.0375, "B cell": 0.0414, "Monocyte": 0.4416, "NK cell": 0.4734, "DC": 0.0047, "Other": 0.0014}, "first_mrna": {"T cell": 0.0976, "B cell": 0.0542, "Monocyte": 0.4206, "NK cell": 0.3881, "DC": 0.0331, "Other": 0.0063}}}, "lora": {"comp_l1": 0.1566780422080866, "coverage": 0.8619607843137255}, "broadcast": {}}
60
+ {"dataset": "immicro", "comparison": "fewshot", "draw": 2, "gene_mode": "score", "bayesprism": {"comp_l1": 1.3190885985901637, "comp_l1_by_variant": {"final_cells": 1.3190885985901637, "first_cells": 1.1892325981577347, "final_mrna": 1.3034732905042083, "first_mrna": 1.154905187570852}, "mean_fraction": {"final_cells": {"T cell": 0.0326, "B cell": 0.0503, "Monocyte": 0.3447, "NK cell": 0.5696, "DC": 0.0003, "Other": 0.0024}, "first_cells": {"T cell": 0.0945, "B cell": 0.0416, "Monocyte": 0.343, "NK cell": 0.5078, "DC": 0.0109, "Other": 0.0023}, "final_mrna": {"T cell": 0.0354, "B cell": 0.0559, "Monocyte": 0.478, "NK cell": 0.4262, "DC": 0.0009, "Other": 0.0035}, "first_mrna": {"T cell": 0.0978, "B cell": 0.0443, "Monocyte": 0.4581, "NK cell": 0.3653, "DC": 0.0312, "Other": 0.0032}}}, "lora": {"comp_l1": 0.17248763359752534, "coverage": 0.7860784313725491}, "broadcast": {}}
61
+ {"dataset": "immicro", "comparison": "fewshot", "draw": 3, "gene_mode": "score", "bayesprism": {"comp_l1": 1.3672894990068964, "comp_l1_by_variant": {"final_cells": 1.3672894990068964, "first_cells": 1.2567720678051184, "final_mrna": 1.3392388245109828, "first_mrna": 1.2112247064506787}, "mean_fraction": {"final_cells": {"T cell": 0.0217, "B cell": 0.0353, "Monocyte": 0.3157, "NK cell": 0.6248, "DC": 0.0015, "Other": 0.001}, "first_cells": {"T cell": 0.068, "B cell": 0.0347, "Monocyte": 0.3141, "NK cell": 0.5714, "DC": 0.0112, "Other": 0.0006}, "final_mrna": {"T cell": 0.0247, "B cell": 0.0436, "Monocyte": 0.4693, "NK cell": 0.4562, "DC": 0.0043, "Other": 0.0019}, "first_mrna": {"T cell": 0.0737, "B cell": 0.041, "Monocyte": 0.4508, "NK cell": 0.4016, "DC": 0.0318, "Other": 0.0011}}}, "lora": {"comp_l1": 0.18654520396343544, "coverage": 0.7829411764705883}, "broadcast": {}}
62
+ {"dataset": "immicro", "comparison": "fewshot", "draw": 4, "gene_mode": "score", "bayesprism": {"comp_l1": 1.3985049750145204, "comp_l1_by_variant": {"final_cells": 1.3985049750145204, "first_cells": 1.2739600827170083, "final_mrna": 1.3800772011415665, "first_mrna": 1.227949635300596}, "mean_fraction": {"final_cells": {"T cell": 0.0078, "B cell": 0.0349, "Monocyte": 0.3615, "NK cell": 0.5941, "DC": 0.0002, "Other": 0.0015}, "first_cells": {"T cell": 0.067, "B cell": 0.0303, "Monocyte": 0.3517, "NK cell": 0.5412, "DC": 0.006, "Other": 0.0037}, "final_mrna": {"T cell": 0.0091, "B cell": 0.0429, "Monocyte": 0.5041, "NK cell": 0.4411, "DC": 0.0005, "Other": 0.0023}, "first_mrna": {"T cell": 0.0738, "B cell": 0.036, "Monocyte": 0.4781, "NK cell": 0.3901, "DC": 0.0167, "Other": 0.0054}}}, "lora": {"comp_l1": 0.18059655915509124, "coverage": 0.7309803921568627}, "broadcast": {}}
63
+ {"dataset": "immicro", "comparison": "cv", "draw": null, "gene_mode": "score", "bayesprism": {"comp_l1": 1.3896436381034112, "comp_l1_by_variant": {"final_cells": 1.3896436381034112, "first_cells": 1.2471449944879396, "final_mrna": 1.375856848044518, "first_mrna": 1.2099504187025492}, "mean_fraction": {"final_cells": {"T cell": 0.0138, "B cell": 0.0334, "Monocyte": 0.3369, "NK cell": 0.6146, "DC": 0.0002, "Other": 0.0012}, "first_cells": {"T cell": 0.0804, "B cell": 0.0243, "Monocyte": 0.3336, "NK cell": 0.5408, "DC": 0.0085, "Other": 0.0123}, "final_mrna": {"T cell": 0.0155, "B cell": 0.0383, "Monocyte": 0.486, "NK cell": 0.4582, "DC": 0.0005, "Other": 0.0016}, "first_mrna": {"T cell": 0.0855, "B cell": 0.0265, "Monocyte": 0.4621, "NK cell": 0.3859, "DC": 0.0231, "Other": 0.0168}}}, "lora": {"comp_l1": 0.16172890350786212, "coverage": 0.7842990654205607}, "broadcast": {}}
64
+ {"dataset": "ye2026_sepsis", "comparison": "fewshot", "draw": 0, "gene_mode": "score", "bayesprism": {"comp_l1": 1.1392577455707993, "comp_l1_by_variant": {"final_cells": 1.1392577455707993, "first_cells": 0.6220990907002514, "final_mrna": 1.1152808734771347, "first_mrna": 0.6222838313901287}, "mean_fraction": {"final_cells": {"T cell": 0.0278, "B cell": 0.0789, "Monocyte": 0.3165, "NK cell": 0.464, "DC": 0.0025, "Other": 0.1103}, "first_cells": {"T cell": 0.3305, "B cell": 0.0473, "Monocyte": 0.307, "NK cell": 0.1658, "DC": 0.0129, "Other": 0.1365}, "final_mrna": {"T cell": 0.0308, "B cell": 0.0962, "Monocyte": 0.4279, "NK cell": 0.3823, "DC": 0.0069, "Other": 0.0559}, "first_mrna": {"T cell": 0.3265, "B cell": 0.0534, "Monocyte": 0.3939, "NK cell": 0.1277, "DC": 0.032, "Other": 0.0665}}, "logfc_r_mean_cp10k": 0.2773581324391346, "partial_r_mean_cp10k": 0.140270759674815, "logfc_r_mean_cp10k_covered_genes": 0.2895072138637591, "deg_top50_sum": 34, "deg_top50_sum_covered_genes": 34, "per_type_logfc_r": {"T cell": 0.1762, "B cell": 0.2161, "Monocyte": 0.599, "NK cell": 0.1181}}, "lora": {"comp_l1": 0.4723364713369038, "coverage": 0.7058874458874459, "logfc_r_mean_cp10k": 0.4359905652333528, "deg_top50_sum": 7, "partial_r_mean_cp10k": 0.4060106147529024}, "broadcast": {"logfc_r_mean_cp10k": 0.3359901153517466, "logfc_r_mean_cp10k_covered_genes": 0.27827433682632724, "deg_top50_sum": 23}}
65
+ {"dataset": "ye2026_sepsis", "comparison": "fewshot", "draw": 1, "gene_mode": "score", "bayesprism": {"comp_l1": 1.181910168171711, "comp_l1_by_variant": {"final_cells": 1.181910168171711, "first_cells": 0.9197332138543787, "final_mrna": 1.1809189691067659, "first_mrna": 0.9290749025987671}, "mean_fraction": {"final_cells": {"T cell": 0.0093, "B cell": 0.0963, "Monocyte": 0.3356, "NK cell": 0.4985, "DC": 0.0007, "Other": 0.0596}, "first_cells": {"T cell": 0.1479, "B cell": 0.0914, "Monocyte": 0.3349, "NK cell": 0.3716, "DC": 0.0031, "Other": 0.0511}, "final_mrna": {"T cell": 0.0109, "B cell": 0.0935, "Monocyte": 0.4736, "NK cell": 0.3691, "DC": 0.0018, "Other": 0.0511}, "first_mrna": {"T cell": 0.1503, "B cell": 0.0822, "Monocyte": 0.4591, "NK cell": 0.2595, "DC": 0.0069, "Other": 0.042}}, "logfc_r_mean_cp10k": 0.18585702234665386, "partial_r_mean_cp10k": 0.07555845000011678, "logfc_r_mean_cp10k_covered_genes": 0.19277961723852588, "deg_top50_sum": 32, "deg_top50_sum_covered_genes": 32, "per_type_logfc_r": {"T cell": 0.0623, "B cell": 0.0802, "Monocyte": 0.5748, "NK cell": 0.026}}, "lora": {"comp_l1": 0.4725655492172997, "coverage": 0.6619047619047619, "logfc_r_mean_cp10k": 0.08123703391754132, "deg_top50_sum": 16, "partial_r_mean_cp10k": -0.018935679613692524}, "broadcast": {"logfc_r_mean_cp10k": 0.27941436238089834, "logfc_r_mean_cp10k_covered_genes": 0.220702686320993, "deg_top50_sum": 20}}
66
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+ {"dataset": "imperial_eskd", "comparison": "fewshot", "draw": 0, "gene_mode": "score", "bayesprism": {"comp_l1": 1.2775618819907144, "comp_l1_by_variant": {"final_cells": 1.2775618819907144, "first_cells": 1.206422325810398, "final_mrna": 1.2858338337171236, "first_mrna": 1.1879496593758736}, "mean_fraction": {"final_cells": {"T cell": 0.0055, "B cell": 0.021, "Monocyte": 0.4673, "NK cell": 0.4502, "DC": 0.0001, "Other": 0.0558}, "first_cells": {"T cell": 0.0357, "B cell": 0.0188, "Monocyte": 0.4191, "NK cell": 0.4607, "DC": 0.0054, "Other": 0.0603}, "final_mrna": {"T cell": 0.0066, "B cell": 0.0266, "Monocyte": 0.5654, "NK cell": 0.3379, "DC": 0.0003, "Other": 0.0633}, "first_mrna": {"T cell": 0.0421, "B cell": 0.0235, "Monocyte": 0.5091, "NK cell": 0.344, "DC": 0.0126, "Other": 0.0687}}, "logfc_r_mean_cp10k": 0.6599409341291975, "partial_r_mean_cp10k": 0.32709876951819394, "logfc_r_mean_cp10k_covered_genes": 0.6647928060843955, "deg_top50_sum": 80, "deg_top50_sum_covered_genes": 80, "per_type_logfc_r": {"T cell": 0.7028, "B cell": 0.4091, "Monocyte": 0.8035, "NK cell": 0.7244}}, "lora": {"comp_l1": 0.478123841402283, "coverage": 0.7569882352941176, "logfc_r_mean_cp10k": 0.7798976158583719, "deg_top50_sum": 116, "partial_r_mean_cp10k": 0.6572469324283057}, "broadcast": {"logfc_r_mean_cp10k": 0.6675205927010471, "logfc_r_mean_cp10k_covered_genes": 0.6645054938918955, "deg_top50_sum": 71}}
77
+ {"dataset": "imperial_eskd", "comparison": "fewshot", "draw": 1, "gene_mode": "score", "bayesprism": {"comp_l1": 1.2602294000362035, "comp_l1_by_variant": {"final_cells": 1.2602294000362035, "first_cells": 1.1404018882964686, "final_mrna": 1.2599940346426761, "first_mrna": 1.112205833851178}, "mean_fraction": {"final_cells": {"T cell": 0.008, "B cell": 0.0249, "Monocyte": 0.5135, "NK cell": 0.3613, "DC": 0.0002, "Other": 0.0921}, "first_cells": {"T cell": 0.0596, "B cell": 0.0223, "Monocyte": 0.4763, "NK cell": 0.3437, "DC": 0.0092, "Other": 0.089}, "final_mrna": {"T cell": 0.0094, "B cell": 0.0312, "Monocyte": 0.5666, "NK cell": 0.2955, "DC": 0.0006, "Other": 0.0966}, "first_mrna": {"T cell": 0.0681, "B cell": 0.0271, "Monocyte": 0.5168, "NK cell": 0.2748, "DC": 0.0215, "Other": 0.0918}}, "logfc_r_mean_cp10k": 0.6313284983048936, "partial_r_mean_cp10k": 0.27947517509494135, "logfc_r_mean_cp10k_covered_genes": 0.6348115703540999, "deg_top50_sum": 96, "deg_top50_sum_covered_genes": 96, "per_type_logfc_r": {"T cell": 0.684, "B cell": 0.3679, "Monocyte": 0.7474, "NK cell": 0.7259}}, "lora": {"comp_l1": 0.5160151799648663, "coverage": 0.7829399392381398, "logfc_r_mean_cp10k": 0.7570901930571807, "deg_top50_sum": 119, "partial_r_mean_cp10k": 0.6045509566158934}, "broadcast": {"logfc_r_mean_cp10k": 0.6611787175621116, "logfc_r_mean_cp10k_covered_genes": 0.6581559719140895, "deg_top50_sum": 86}}
78
+ {"dataset": "imperial_eskd", "comparison": "fewshot", "draw": 2, "gene_mode": "score", "bayesprism": {"comp_l1": 1.2822045893229197, "comp_l1_by_variant": {"final_cells": 1.2822045893229197, "first_cells": 1.1995334458513318, "final_mrna": 1.2714390668849833, "first_mrna": 1.1631974924575916}, "mean_fraction": {"final_cells": {"T cell": 0.0023, "B cell": 0.0264, "Monocyte": 0.4356, "NK cell": 0.512, "DC": 0.0004, "Other": 0.0233}, "first_cells": {"T cell": 0.0373, "B cell": 0.0261, "Monocyte": 0.4199, "NK cell": 0.467, "DC": 0.0051, "Other": 0.0446}, "final_mrna": {"T cell": 0.0032, "B cell": 0.0341, "Monocyte": 0.5241, "NK cell": 0.4031, "DC": 0.0008, "Other": 0.0347}, "first_mrna": {"T cell": 0.0482, "B cell": 0.0322, "Monocyte": 0.4895, "NK cell": 0.3535, "DC": 0.0108, "Other": 0.0657}}, "logfc_r_mean_cp10k": 0.6399604252827782, "partial_r_mean_cp10k": 0.3255231703400274, "logfc_r_mean_cp10k_covered_genes": 0.64365234598455, "deg_top50_sum": 83, "deg_top50_sum_covered_genes": 83, "per_type_logfc_r": {"T cell": 0.695, "B cell": 0.4238, "Monocyte": 0.7206, "NK cell": 0.7205}}, "lora": {"comp_l1": 0.5117644876225123, "coverage": 0.6650339110776187, "logfc_r_mean_cp10k": 0.7139546009415169, "deg_top50_sum": 103, "partial_r_mean_cp10k": 0.5764372157359006}, "broadcast": {"logfc_r_mean_cp10k": 0.6433613217171205, "logfc_r_mean_cp10k_covered_genes": 0.6404865393732804, "deg_top50_sum": 65}}
79
+ {"dataset": "imperial_eskd", "comparison": "fewshot", "draw": 3, "gene_mode": "score", "bayesprism": {"comp_l1": 1.2606978017175978, "comp_l1_by_variant": {"final_cells": 1.2606978017175978, "first_cells": 1.173508523665221, "final_mrna": 1.2547269731637012, "first_mrna": 1.1465540987906442}, "mean_fraction": {"final_cells": {"T cell": 0.0065, "B cell": 0.0189, "Monocyte": 0.414, "NK cell": 0.4988, "DC": 0.0013, "Other": 0.0605}, "first_cells": {"T cell": 0.0399, "B cell": 0.0202, "Monocyte": 0.3911, "NK cell": 0.4831, "DC": 0.0119, "Other": 0.0538}, "final_mrna": {"T cell": 0.0072, "B cell": 0.0262, "Monocyte": 0.5327, "NK cell": 0.36, "DC": 0.0027, "Other": 0.0712}, "first_mrna": {"T cell": 0.0422, "B cell": 0.0274, "Monocyte": 0.4992, "NK cell": 0.3433, "DC": 0.0247, "Other": 0.0632}}, "logfc_r_mean_cp10k": 0.6273182344451201, "partial_r_mean_cp10k": 0.28547510203613663, "logfc_r_mean_cp10k_covered_genes": 0.6312081095100865, "deg_top50_sum": 69, "deg_top50_sum_covered_genes": 69, "per_type_logfc_r": {"T cell": 0.665, "B cell": 0.3558, "Monocyte": 0.7391, "NK cell": 0.7494}}, "lora": {"comp_l1": 0.5275199844470723, "coverage": 0.842680564523568, "logfc_r_mean_cp10k": 0.7455905986374256, "deg_top50_sum": 117, "partial_r_mean_cp10k": 0.6007400715066787}, "broadcast": {"logfc_r_mean_cp10k": 0.6538959233815048, "logfc_r_mean_cp10k_covered_genes": 0.6513541840409236, "deg_top50_sum": 76}}
80
+ {"dataset": "imperial_eskd", "comparison": "fewshot", "draw": 4, "gene_mode": "score", "bayesprism": {"comp_l1": 1.2836498121844566, "comp_l1_by_variant": {"final_cells": 1.2836498121844566, "first_cells": 1.1942672475358052, "final_mrna": 1.282521324443105, "first_mrna": 1.1775761658792774}, "mean_fraction": {"final_cells": {"T cell": 0.0057, "B cell": 0.0144, "Monocyte": 0.4795, "NK cell": 0.4734, "DC": 0.0001, "Other": 0.0268}, "first_cells": {"T cell": 0.0423, "B cell": 0.0147, "Monocyte": 0.4488, "NK cell": 0.4489, "DC": 0.0059, "Other": 0.0394}, "final_mrna": {"T cell": 0.0064, "B cell": 0.0213, "Monocyte": 0.5822, "NK cell": 0.3475, "DC": 0.0003, "Other": 0.0423}, "first_mrna": {"T cell": 0.0453, "B cell": 0.021, "Monocyte": 0.5369, "NK cell": 0.3219, "DC": 0.0122, "Other": 0.0627}}, "logfc_r_mean_cp10k": 0.5938215544028191, "partial_r_mean_cp10k": 0.2437258990135912, "logfc_r_mean_cp10k_covered_genes": 0.59799600379165, "deg_top50_sum": 96, "deg_top50_sum_covered_genes": 96, "per_type_logfc_r": {"T cell": 0.5616, "B cell": 0.342, "Monocyte": 0.7435, "NK cell": 0.7282}}, "lora": {"comp_l1": 0.48142813711177446, "coverage": 0.6369376110747358, "logfc_r_mean_cp10k": 0.7492433446082651, "deg_top50_sum": 113, "partial_r_mean_cp10k": 0.575230848198632}, "broadcast": {"logfc_r_mean_cp10k": 0.6565426449733607, "logfc_r_mean_cp10k_covered_genes": 0.6528453910767952, "deg_top50_sum": 76}}
81
+ {"dataset": "imperial_eskd", "comparison": "cv", "draw": null, "gene_mode": "score", "bayesprism": {"comp_l1": 1.2520012986063231, "comp_l1_by_variant": {"final_cells": 1.2520012986063231, "first_cells": 1.199848612879087, "final_mrna": 1.245337181637888, "first_mrna": 1.1789149019549443}, "mean_fraction": {"final_cells": {"T cell": 0.0073, "B cell": 0.0299, "Monocyte": 0.442, "NK cell": 0.5017, "DC": 0.0005, "Other": 0.0187}, "first_cells": {"T cell": 0.0278, "B cell": 0.027, "Monocyte": 0.3923, "NK cell": 0.4995, "DC": 0.0053, "Other": 0.0482}, "final_mrna": {"T cell": 0.0083, "B cell": 0.0386, "Monocyte": 0.5551, "NK cell": 0.3701, "DC": 0.0011, "Other": 0.0268}, "first_mrna": {"T cell": 0.0308, "B cell": 0.0344, "Monocyte": 0.4892, "NK cell": 0.364, "DC": 0.0116, "Other": 0.0699}}, "logfc_r_mean_cp10k": 0.643234589352544, "partial_r_mean_cp10k": 0.2982601573161649, "logfc_r_mean_cp10k_covered_genes": 0.6483916675055967, "deg_top50_sum": 98, "deg_top50_sum_covered_genes": 98, "per_type_logfc_r": {"T cell": 0.7042, "B cell": 0.3865, "Monocyte": 0.749, "NK cell": 0.7332}}, "lora": {"comp_l1": 0.37638560875745664, "coverage": 0.8500127757431224, "logfc_r_mean_cp10k": 0.8187448084273437, "deg_top50_sum": 143, "partial_r_mean_cp10k": 0.6899314750539278}, "broadcast": {"logfc_r_mean_cp10k": 0.6606053132085035, "logfc_r_mean_cp10k_covered_genes": 0.6582477222834011, "deg_top50_sum": 84}}
82
+ {"dataset": "giroux2022", "comparison": "fewshot", "draw": 0, "gene_mode": "score", "bayesprism": {"comp_l1": 1.8027415837285268, "comp_l1_by_variant": {"final_cells": 1.8027415837285268, "first_cells": 1.3172890365195966, "final_mrna": 1.5952789694759482, "first_mrna": 1.0142832141087779}, "mean_fraction": {"final_cells": {"T cell": 0.0001, "B cell": 0.0119, "Monocyte": 0.0285, "NK cell": 0.0072, "DC": 0.0, "Other": 0.9523}, "first_cells": {"T cell": 0.238, "B cell": 0.0097, "Monocyte": 0.032, "NK cell": 0.0102, "DC": 0.0005, "Other": 0.7096}, "final_mrna": {"T cell": 0.0002, "B cell": 0.0301, "Monocyte": 0.1055, "NK cell": 0.0156, "DC": 0.0, "Other": 0.8486}, "first_mrna": {"T cell": 0.2991, "B cell": 0.0213, "Monocyte": 0.0991, "NK cell": 0.0189, "DC": 0.0034, "Other": 0.5581}}, "logfc_r_mean_cp10k": 0.42403489559228, "partial_r_mean_cp10k": 0.08333079676882724, "logfc_r_mean_cp10k_covered_genes": 0.4244868945506697, "deg_top50_sum": 0, "deg_top50_sum_covered_genes": 0, "per_type_logfc_r": {"T cell": 0.4132, "B cell": 0.4211, "Monocyte": 0.5517, "NK cell": 0.3101}}, "lora": {"comp_l1": 0.27193277679338645, "coverage": 0.96, "logfc_r_mean_cp10k": 0.243392212681724, "deg_top50_sum": 0, "partial_r_mean_cp10k": 0.15035969319388034}, "broadcast": {"logfc_r_mean_cp10k": 0.4709654147613206, "logfc_r_mean_cp10k_covered_genes": 0.47465918591696865, "deg_top50_sum": 0}}
83
+ {"dataset": "giroux2022", "comparison": "fewshot", "draw": 1, "gene_mode": "score", "bayesprism": {"comp_l1": 1.7599169676086206, "comp_l1_by_variant": {"final_cells": 1.7599169676086206, "first_cells": 0.7385246862506405, "final_mrna": 1.5255549689756318, "first_mrna": 0.4823111070328001}, "mean_fraction": {"final_cells": {"T cell": 0.0042, "B cell": 0.0053, "Monocyte": 0.0478, "NK cell": 0.007, "DC": 0.0, "Other": 0.9358}, "first_cells": {"T cell": 0.5618, "B cell": 0.0041, "Monocyte": 0.0789, "NK cell": 0.0096, "DC": 0.0007, "Other": 0.3449}, "final_mrna": {"T cell": 0.0066, "B cell": 0.0121, "Monocyte": 0.1655, "NK cell": 0.0123, "DC": 0.0, "Other": 0.8035}, "first_mrna": {"T cell": 0.5526, "B cell": 0.0067, "Monocyte": 0.2001, "NK cell": 0.0134, "DC": 0.0033, "Other": 0.2239}}, "logfc_r_mean_cp10k": 0.4000648137127926, "partial_r_mean_cp10k": 0.09411226085159383, "logfc_r_mean_cp10k_covered_genes": 0.4028078113970014, "deg_top50_sum": 0, "deg_top50_sum_covered_genes": 0, "per_type_logfc_r": {"T cell": 0.4506, "B cell": 0.1739, "Monocyte": 0.5981, "NK cell": 0.3777}}, "lora": {"comp_l1": 0.22320689222847964, "coverage": 0.9526666666666667, "logfc_r_mean_cp10k": 0.35634959703435354, "deg_top50_sum": 1, "partial_r_mean_cp10k": 0.2523250741286013}, "broadcast": {"logfc_r_mean_cp10k": 0.5012527613870964, "logfc_r_mean_cp10k_covered_genes": 0.5013362659252331, "deg_top50_sum": 0}}
84
+ {"dataset": "giroux2022", "comparison": "fewshot", "draw": 2, "gene_mode": "score", "bayesprism": {"comp_l1": 1.6999423714160045, "comp_l1_by_variant": {"final_cells": 1.6999423714160045, "first_cells": 0.8243399278333422, "final_mrna": 1.4183639835960766, "first_mrna": 0.5085881594931704}, "mean_fraction": {"final_cells": {"T cell": 0.0286, "B cell": 0.0317, "Monocyte": 0.0335, "NK cell": 0.0173, "DC": 0.0, "Other": 0.8888}, "first_cells": {"T cell": 0.5013, "B cell": 0.0222, "Monocyte": 0.0584, "NK cell": 0.0235, "DC": 0.0021, "Other": 0.3925}, "final_mrna": {"T cell": 0.0422, "B cell": 0.074, "Monocyte": 0.1047, "NK cell": 0.0354, "DC": 0.0, "Other": 0.7436}, "first_mrna": {"T cell": 0.5155, "B cell": 0.0394, "Monocyte": 0.1399, "NK cell": 0.0363, "DC": 0.01, "Other": 0.2589}}, "logfc_r_mean_cp10k": 0.409140060748368, "partial_r_mean_cp10k": 0.12680783898552012, "logfc_r_mean_cp10k_covered_genes": 0.4096064238113356, "deg_top50_sum": 0, "deg_top50_sum_covered_genes": 0, "per_type_logfc_r": {"T cell": 0.2952, "B cell": 0.4492, "Monocyte": 0.6047, "NK cell": 0.2875}}, "lora": {"comp_l1": 0.2907494763185344, "coverage": 0.9533333333333334, "logfc_r_mean_cp10k": 0.230513969445487, "deg_top50_sum": 0, "partial_r_mean_cp10k": 0.15040912208962715}, "broadcast": {"logfc_r_mean_cp10k": 0.39643909018360535, "logfc_r_mean_cp10k_covered_genes": 0.3992349402913996, "deg_top50_sum": 0}}
85
+ {"dataset": "giroux2022", "comparison": "fewshot", "draw": 3, "gene_mode": "score", "bayesprism": {"comp_l1": 1.607186467641661, "comp_l1_by_variant": {"final_cells": 1.607186467641661, "first_cells": 0.6222394921050891, "final_mrna": 1.3159875062686455, "first_mrna": 0.4005043856076437}, "mean_fraction": {"final_cells": {"T cell": 0.0919, "B cell": 0.0194, "Monocyte": 0.0295, "NK cell": 0.0129, "DC": 0.0, "Other": 0.8463}, "first_cells": {"T cell": 0.6493, "B cell": 0.0165, "Monocyte": 0.0597, "NK cell": 0.0224, "DC": 0.0015, "Other": 0.2506}, "final_mrna": {"T cell": 0.1277, "B cell": 0.0443, "Monocyte": 0.1131, "NK cell": 0.0245, "DC": 0.0, "Other": 0.6904}, "first_mrna": {"T cell": 0.621, "B cell": 0.0274, "Monocyte": 0.1625, "NK cell": 0.0311, "DC": 0.0071, "Other": 0.1509}}, "logfc_r_mean_cp10k": 0.4986149233422867, "partial_r_mean_cp10k": 0.20182387848262553, "logfc_r_mean_cp10k_covered_genes": 0.49903850451226733, "deg_top50_sum": 0, "deg_top50_sum_covered_genes": 0, "per_type_logfc_r": {"T cell": 0.4518, "B cell": 0.5125, "Monocyte": 0.6107, "NK cell": 0.4194}}, "lora": {"comp_l1": 0.2688359990061283, "coverage": 0.9624242424242424, "logfc_r_mean_cp10k": 0.24186295766157903, "deg_top50_sum": 0, "partial_r_mean_cp10k": 0.14697551642627654}, "broadcast": {"logfc_r_mean_cp10k": 0.4657480400911531, "logfc_r_mean_cp10k_covered_genes": 0.467863802750279, "deg_top50_sum": 0}}
86
+ {"dataset": "giroux2022", "comparison": "fewshot", "draw": 4, "gene_mode": "score", "bayesprism": {"comp_l1": 0.7421549655922297, "comp_l1_by_variant": {"final_cells": 0.7421549655922297, "first_cells": 0.5690064517688505, "final_mrna": 0.5021313182781816, "first_mrna": 0.3586912819884033}, "mean_fraction": {"final_cells": {"T cell": 0.4289, "B cell": 0.0261, "Monocyte": 0.1034, "NK cell": 0.033, "DC": 0.0, "Other": 0.4086}, "first_cells": {"T cell": 0.8255, "B cell": 0.0083, "Monocyte": 0.0998, "NK cell": 0.0338, "DC": 0.0029, "Other": 0.0297}, "final_mrna": {"T cell": 0.417, "B cell": 0.0388, "Monocyte": 0.2291, "NK cell": 0.04, "DC": 0.0, "Other": 0.275}, "first_mrna": {"T cell": 0.7101, "B cell": 0.0112, "Monocyte": 0.2113, "NK cell": 0.0388, "DC": 0.0111, "Other": 0.0176}}, "logfc_r_mean_cp10k": 0.5441509891552919, "partial_r_mean_cp10k": 0.2027735798353649, "logfc_r_mean_cp10k_covered_genes": 0.5461575303353852, "deg_top50_sum": 0, "deg_top50_sum_covered_genes": 0, "per_type_logfc_r": {"T cell": 0.5308, "B cell": 0.3848, "Monocyte": 0.7311, "NK cell": 0.53}}, "lora": {"comp_l1": 0.2274734478129418, "coverage": 0.9766666666666667, "logfc_r_mean_cp10k": 0.41085265458568265, "deg_top50_sum": 0, "partial_r_mean_cp10k": 0.24279747694617004}, "broadcast": {"logfc_r_mean_cp10k": 0.6280870820074911, "logfc_r_mean_cp10k_covered_genes": 0.6282955787542766, "deg_top50_sum": 0}}
87
+ {"dataset": "giroux2022", "comparison": "cv", "draw": null, "gene_mode": "score", "bayesprism": {"comp_l1": 1.0130932525218068, "comp_l1_by_variant": {"final_cells": 1.0130932525218068, "first_cells": 0.5495314839645408, "final_mrna": 0.734796598559527, "first_mrna": 0.3561888525958372}, "mean_fraction": {"final_cells": {"T cell": 0.3306, "B cell": 0.0341, "Monocyte": 0.0682, "NK cell": 0.0205, "DC": 0.0001, "Other": 0.5464}, "first_cells": {"T cell": 0.8357, "B cell": 0.0161, "Monocyte": 0.0828, "NK cell": 0.0305, "DC": 0.0033, "Other": 0.0316}, "final_mrna": {"T cell": 0.3476, "B cell": 0.0563, "Monocyte": 0.1873, "NK cell": 0.0284, "DC": 0.0007, "Other": 0.3796}, "first_mrna": {"T cell": 0.7192, "B cell": 0.0223, "Monocyte": 0.1915, "NK cell": 0.0363, "DC": 0.0132, "Other": 0.0175}}, "logfc_r_mean_cp10k": 0.4619774813232209, "partial_r_mean_cp10k": 0.057257053963693766, "logfc_r_mean_cp10k_covered_genes": 0.4653101345055838, "deg_top50_sum": 4, "deg_top50_sum_covered_genes": 4, "per_type_logfc_r": {"T cell": 0.3647, "B cell": 0.3919, "Monocyte": 0.6866, "NK cell": 0.4047}}, "lora": {"comp_l1": 0.2580442754044374, "coverage": 0.9280555555555555, "logfc_r_mean_cp10k": 0.46094848304079133, "deg_top50_sum": 5, "partial_r_mean_cp10k": 0.3230347269696575}, "broadcast": {"logfc_r_mean_cp10k": 0.5752659929360795, "logfc_r_mean_cp10k_covered_genes": 0.5757467455051679, "deg_top50_sum": 5}}
88
+ # BayesPrism with the same paired donors vs LoRA (paired benchmark; gene mode score)
89
+
90
+ BayesPrism genes: the scorer's ~5.5-6k scoring genes only (sensitivity run; handicaps composition).
91
+
92
+ Same donors, observed truth, contrast and scorer as the benchmark (score_ft.py functions; the recomputed bulk broadcast equals the stored one in every split). BayesPrism reference = the split's paired donors' observed cells (states = gate | AIFI L2); mixture = the test samples' real bulk. Composition L1 in cell units (lower is better): 'final' and 'first' BayesPrism theta. logFC r = case-vs-control per-type logFC (mean CP10K) correlation with observed, mean of T/B/Mono/NK; BayesPrism Z zero-filled on genes it lacks ('covered' = only genes it models, broadcast recomputed there). DEG = top-50 overlap summed over types.
93
+
94
+ ## Five-donor draws (mean ± SD over 5 draws)
95
+
96
+ | cohort | L1 BP final | L1 BP first | L1 LoRA-5 | r BP | r BP (covered) | r LoRA-5 | r broadcast | partial r BP | partial r LoRA-5 | DEG BP | DEG LoRA-5 | DEG broadcast |
97
+ |---|---:|---:|---:|---:|---:|---:|---:|---:|---:|---:|---:|---:|
98
+ | ImMicro (5) | 1.364 ± 0.032 | 1.248 ± 0.071 | 0.176 ± 0.012 | – | – | – | – | – | – | – | – | – |
99
+ | Sepsis (5) | 1.177 ± 0.038 | 0.838 ± 0.158 | 0.466 ± 0.044 | 0.259 ± 0.043 | 0.270 ± 0.045 | 0.350 ± 0.162 | 0.320 ± 0.024 | 0.129 ± 0.035 | 0.305 ± 0.189 | 29.0 ± 6.2 | 16.4 ± 6.7 | 20.0 ± 1.9 |
100
+ | Ji ChILI (5) | 1.085 ± 0.024 | 1.040 ± 0.031 | 0.513 ± 0.115 | 0.207 ± 0.015 | 0.210 ± 0.015 | 0.333 ± 0.077 | 0.234 ± 0.026 | 0.042 ± 0.020 | 0.300 ± 0.076 | 1.6 ± 1.7 | 0.2 ± 0.4 | 1.0 ± 2.2 |
101
+ | Imperial (5) | 1.273 ± 0.012 | 1.183 ± 0.027 | 0.503 ± 0.022 | 0.630 ± 0.024 | 0.634 ± 0.024 | 0.749 ± 0.024 | 0.656 ± 0.009 | 0.292 ± 0.035 | 0.603 ± 0.033 | 84.8 ± 11.5 | 113.6 ± 6.3 | 74.8 ± 7.7 |
102
+ | Giroux (5) | 1.522 ± 0.442 | 0.814 ± 0.298 | 0.256 ± 0.030 | 0.455 ± 0.063 | 0.456 ± 0.063 | 0.297 ± 0.082 | 0.492 ± 0.085 | 0.142 ± 0.058 | 0.189 ± 0.054 | 0.0 ± 0.0 | 0.2 ± 0.4 | 0.0 ± 0.0 |
103
+
104
+ Draws where LoRA-5 beats BayesPrism: composition 25/25 (vs BayesPrism's better theta), logFC r 14/20, partial r 18/20, top-50 DEG 7/20 (ties 6).
105
+
106
+ ## 5-fold CV, pooled (BayesPrism reference = each fold's LoRA training + inner-validation pairs)
107
+
108
+ | cohort | L1 BP final | L1 BP first | L1 LoRA | L1 scSemi | r BP | r BP (covered) | r LoRA | r scSemi | r broadcast | partial r BP | partial r LoRA | DEG BP | DEG LoRA | DEG scSemi | DEG broadcast |
109
+ |---|---:|---:|---:|---:|---:|---:|---:|---:|---:|---:|---:|---:|---:|---:|---:|
110
+ | ImMicro | 1.390 | 1.247 | 0.162 | 0.217 | – | – | – | – | – | – | – | – | – | – | – |
111
+ | Sepsis | 1.195 | 0.898 | 0.362 | – | 0.273 | 0.268 | 0.527 | – | 0.316 | 0.133 | 0.469 | 33 | 23 | – | 21 |
112
+ | Ji ChILI | 1.098 | 1.065 | 0.504 | 0.575 | 0.241 | 0.251 | 0.479 | 0.273 | 0.240 | 0.077 | 0.452 | 4 | 15 | 0 | 4 |
113
+ | Imperial | 1.252 | 1.200 | 0.376 | – | 0.643 | 0.648 | 0.819 | – | 0.661 | 0.298 | 0.690 | 98 | 143 | – | 84 |
114
+ | Giroux | 1.013 | 0.550 | 0.258 | – | 0.462 | 0.465 | 0.461 | – | 0.575 | 0.057 | 0.323 | 4 | 5 | – | 5 |
115
+ 2026-10-07T11:59:23 finalize done; failed=0
paper-releases/pbisc-diffusion/updates/20261008T022410Z-deconv-scsemi-deck/diffusion/dataset/server_1/model8/plans/bayesprism_paired_20261006/logs/run_all_A_20261006T154242.log ADDED
@@ -0,0 +1,56 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ 2026-10-06T15:42:42 lane A: 4 cores, cohorts imperial_eskd ji2025_chili giroux2022
2
+ 2026-10-06T15:42:42 --- imperial_eskd fewshot0 (142 mixture, 15 reference samples, 29 states, 5687 genes)
3
+ 2026-10-06T16:08:05 imperial_eskd fewshot0: elapsed min: 25.32
4
+ 2026-10-06T16:08:06 --- imperial_eskd fewshot1 (143 mixture, 14 reference samples, 29 states, 5636 genes)
5
+ 2026-10-06T16:33:34 imperial_eskd fewshot1: elapsed min: 25.39
6
+ 2026-10-06T16:33:36 --- imperial_eskd fewshot2 (142 mixture, 15 reference samples, 29 states, 5598 genes)
7
+ 2026-10-06T16:59:02 imperial_eskd fewshot2: elapsed min: 25.37
8
+ 2026-10-06T16:59:04 --- imperial_eskd fewshot3 (145 mixture, 12 reference samples, 28 states, 5620 genes)
9
+ 2026-10-06T17:25:16 imperial_eskd fewshot3: elapsed min: 26.13
10
+ 2026-10-06T17:25:18 --- imperial_eskd fewshot4 (143 mixture, 14 reference samples, 29 states, 5622 genes)
11
+ 2026-10-06T17:50:18 imperial_eskd fewshot4: elapsed min: 24.93
12
+ 2026-10-06T17:50:18 WARN: build_split imperial_eskd cv0 failed
13
+ 2026-10-06T17:50:19 WARN: build_split imperial_eskd cv1 failed
14
+ 2026-10-06T17:50:19 WARN: build_split imperial_eskd cv2 failed
15
+ 2026-10-06T17:50:19 WARN: build_split imperial_eskd cv3 failed
16
+ 2026-10-06T17:50:20 WARN: build_split imperial_eskd cv4 failed
17
+ 2026-10-06T17:50:20 --- ji2025_chili fewshot0 (25 mixture, 8 reference samples, 29 states, 5697 genes)
18
+ 2026-10-06T17:54:57 ji2025_chili fewshot0: elapsed min: 4.53
19
+ 2026-10-06T17:54:58 --- ji2025_chili fewshot1 (26 mixture, 7 reference samples, 28 states, 5652 genes)
20
+ 2026-10-06T17:59:23 ji2025_chili fewshot1: elapsed min: 4.34
21
+ 2026-10-06T17:59:23 --- ji2025_chili fewshot2 (26 mixture, 7 reference samples, 29 states, 5656 genes)
22
+ 2026-10-06T18:03:45 ji2025_chili fewshot2: elapsed min: 4.29
23
+ 2026-10-06T18:03:46 --- ji2025_chili fewshot3 (25 mixture, 8 reference samples, 29 states, 5689 genes)
24
+ 2026-10-06T18:08:16 ji2025_chili fewshot3: elapsed min: 4.42
25
+ 2026-10-06T18:08:17 --- ji2025_chili fewshot4 (24 mixture, 9 reference samples, 29 states, 5694 genes)
26
+ 2026-10-06T18:12:45 ji2025_chili fewshot4: elapsed min: 4.38
27
+ 2026-10-06T18:12:46 --- ji2025_chili cv0 (7 mixture, 26 reference samples, 29 states, 5732 genes)
28
+ 2026-10-06T18:14:20 ji2025_chili cv0: elapsed min: 1.5
29
+ 2026-10-06T18:14:21 --- ji2025_chili cv1 (6 mixture, 27 reference samples, 29 states, 5733 genes)
30
+ 2026-10-06T18:15:51 ji2025_chili cv1: elapsed min: 1.43
31
+ 2026-10-06T18:15:52 --- ji2025_chili cv2 (6 mixture, 27 reference samples, 29 states, 5730 genes)
32
+ 2026-10-06T18:17:23 ji2025_chili cv2: elapsed min: 1.43
33
+ 2026-10-06T18:17:23 --- ji2025_chili cv3 (8 mixture, 25 reference samples, 29 states, 5728 genes)
34
+ 2026-10-06T18:18:56 ji2025_chili cv3: elapsed min: 1.47
35
+ 2026-10-06T18:18:56 --- ji2025_chili cv4 (6 mixture, 27 reference samples, 29 states, 5731 genes)
36
+ 2026-10-06T18:20:29 ji2025_chili cv4: elapsed min: 1.46
37
+ 2026-10-06T18:20:29 --- giroux2022 fewshot0 (11 mixture, 13 reference samples, 29 states, 5400 genes)
38
+ 2026-10-06T18:22:41 giroux2022 fewshot0: elapsed min: 2.12
39
+ 2026-10-06T18:22:42 --- giroux2022 fewshot1 (10 mixture, 14 reference samples, 29 states, 5400 genes)
40
+ 2026-10-06T18:24:45 giroux2022 fewshot1: elapsed min: 1.99
41
+ 2026-10-06T18:24:46 --- giroux2022 fewshot2 (12 mixture, 12 reference samples, 29 states, 5389 genes)
42
+ 2026-10-06T18:26:55 giroux2022 fewshot2: elapsed min: 2.07
43
+ 2026-10-06T18:26:55 --- giroux2022 fewshot3 (11 mixture, 13 reference samples, 29 states, 5394 genes)
44
+ 2026-10-06T18:29:00 giroux2022 fewshot3: elapsed min: 2
45
+ 2026-10-06T18:29:01 --- giroux2022 fewshot4 (10 mixture, 14 reference samples, 29 states, 5406 genes)
46
+ 2026-10-06T18:31:16 giroux2022 fewshot4: elapsed min: 2.18
47
+ 2026-10-06T18:31:16 giroux2022 cv0: done already
48
+ 2026-10-06T18:31:17 --- giroux2022 cv1 (5 mixture, 19 reference samples, 29 states, 5422 genes)
49
+ 2026-10-06T18:32:43 giroux2022 cv1: elapsed min: 1.35
50
+ 2026-10-06T18:32:43 --- giroux2022 cv2 (6 mixture, 18 reference samples, 29 states, 5418 genes)
51
+ 2026-10-06T18:34:17 giroux2022 cv2: elapsed min: 1.48
52
+ 2026-10-06T18:34:17 --- giroux2022 cv3 (6 mixture, 18 reference samples, 29 states, 5425 genes)
53
+ 2026-10-06T18:35:44 giroux2022 cv3: elapsed min: 1.37
54
+ 2026-10-06T18:35:45 --- giroux2022 cv4 (3 mixture, 21 reference samples, 29 states, 5429 genes)
55
+ 2026-10-06T18:36:35 giroux2022 cv4: elapsed min: 0.75
56
+ 2026-10-06T18:36:35 lane A finished; failed=5
paper-releases/pbisc-diffusion/updates/20261008T022410Z-deconv-scsemi-deck/diffusion/dataset/server_1/model8/plans/bayesprism_paired_20261006/logs/run_all_B_20261006T154242.log ADDED
@@ -0,0 +1,42 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ 2026-10-06T15:42:42 lane B: 4 cores, cohorts ye2026_sepsis immicro
2
+ 2026-10-06T15:42:42 --- ye2026_sepsis fewshot0 (77 mixture, 5 reference samples, 28 states, 5686 genes)
3
+ 2026-10-06T15:56:21 ye2026_sepsis fewshot0: elapsed min: 13.58
4
+ 2026-10-06T15:56:22 --- ye2026_sepsis fewshot1 (77 mixture, 5 reference samples, 28 states, 5657 genes)
5
+ 2026-10-06T16:09:31 ye2026_sepsis fewshot1: elapsed min: 13.07
6
+ 2026-10-06T16:09:32 --- ye2026_sepsis fewshot2 (77 mixture, 5 reference samples, 27 states, 5650 genes)
7
+ 2026-10-06T16:23:11 ye2026_sepsis fewshot2: elapsed min: 13.58
8
+ 2026-10-06T16:23:12 --- ye2026_sepsis fewshot3 (77 mixture, 5 reference samples, 28 states, 5664 genes)
9
+ 2026-10-06T16:36:38 ye2026_sepsis fewshot3: elapsed min: 13.34
10
+ 2026-10-06T16:36:39 --- ye2026_sepsis fewshot4 (77 mixture, 5 reference samples, 28 states, 5718 genes)
11
+ 2026-10-06T16:50:33 ye2026_sepsis fewshot4: elapsed min: 13.82
12
+ 2026-10-06T16:50:33 --- ye2026_sepsis cv0 (17 mixture, 65 reference samples, 29 states, 5889 genes)
13
+ 2026-10-06T16:54:13 ye2026_sepsis cv0: elapsed min: 3.58
14
+ 2026-10-06T16:54:14 --- ye2026_sepsis cv1 (17 mixture, 65 reference samples, 29 states, 5889 genes)
15
+ 2026-10-06T16:57:58 ye2026_sepsis cv1: elapsed min: 3.65
16
+ 2026-10-06T16:57:58 --- ye2026_sepsis cv2 (16 mixture, 66 reference samples, 29 states, 5883 genes)
17
+ 2026-10-06T17:00:54 ye2026_sepsis cv2: elapsed min: 2.86
18
+ 2026-10-06T17:00:55 --- ye2026_sepsis cv3 (16 mixture, 66 reference samples, 29 states, 5893 genes)
19
+ 2026-10-06T17:03:51 ye2026_sepsis cv3: elapsed min: 2.85
20
+ 2026-10-06T17:03:52 --- ye2026_sepsis cv4 (16 mixture, 66 reference samples, 29 states, 5896 genes)
21
+ 2026-10-06T17:06:48 ye2026_sepsis cv4: elapsed min: 2.87
22
+ 2026-10-06T17:06:48 --- immicro fewshot0 (102 mixture, 5 reference samples, 27 states, 5233 genes)
23
+ 2026-10-06T17:23:10 immicro fewshot0: elapsed min: 16.27
24
+ 2026-10-06T17:23:11 --- immicro fewshot1 (102 mixture, 5 reference samples, 28 states, 5281 genes)
25
+ 2026-10-06T17:39:09 immicro fewshot1: elapsed min: 15.9
26
+ 2026-10-06T17:39:11 --- immicro fewshot2 (102 mixture, 5 reference samples, 28 states, 5249 genes)
27
+ 2026-10-06T17:55:40 immicro fewshot2: elapsed min: 16.42
28
+ 2026-10-06T17:55:41 --- immicro fewshot3 (102 mixture, 5 reference samples, 27 states, 5283 genes)
29
+ 2026-10-06T18:11:48 immicro fewshot3: elapsed min: 16.03
30
+ 2026-10-06T18:11:49 --- immicro fewshot4 (102 mixture, 5 reference samples, 28 states, 5250 genes)
31
+ 2026-10-06T18:28:13 immicro fewshot4: elapsed min: 16.33
32
+ 2026-10-06T18:28:14 --- immicro cv0 (22 mixture, 85 reference samples, 29 states, 5462 genes)
33
+ 2026-10-06T18:32:24 immicro cv0: elapsed min: 4.11
34
+ 2026-10-06T18:32:25 --- immicro cv1 (22 mixture, 85 reference samples, 29 states, 5466 genes)
35
+ 2026-10-06T18:36:31 immicro cv1: elapsed min: 4.02
36
+ 2026-10-06T18:36:31 --- immicro cv2 (21 mixture, 86 reference samples, 29 states, 5468 genes)
37
+ 2026-10-06T18:40:27 immicro cv2: elapsed min: 3.86
38
+ 2026-10-06T18:40:28 --- immicro cv3 (21 mixture, 86 reference samples, 29 states, 5467 genes)
39
+ 2026-10-06T18:44:18 immicro cv3: elapsed min: 3.76
40
+ 2026-10-06T18:44:19 --- immicro cv4 (21 mixture, 86 reference samples, 29 states, 5468 genes)
41
+ 2026-10-06T18:48:14 immicro cv4: elapsed min: 3.85
42
+ 2026-10-06T18:48:14 lane B finished; failed=0