junidude14 commited on
Commit
257cf7f
·
verified ·
1 Parent(s): 64321cd

Archive 4 checkpoints (1-4)

Browse files
paper-releases/pbisc-diffusion/updates/20261015T095445Z-all-width-results/diffusion/dataset/server_1/model8/plans/paper_figures_strictpairs_20261012/recoveries/all_width_results_20261015/immicro/healthy/fold3/n10/score/arms/lora/labels/labels.manifest.json ADDED
@@ -0,0 +1,156 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "dataset_id": "GSE314416_ImMicro",
3
+ "split": "generated",
4
+ "input_h5ad": "/home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/paper_figures_strictpairs_20261012/recoveries/all_width_results_20261015/immicro/healthy/fold3/n10/score/arms/lora/query.h5ad",
5
+ "method": "lora",
6
+ "out_parquet": "/home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/paper_figures_strictpairs_20261012/recoveries/all_width_results_20261015/immicro/healthy/fold3/n10/score/arms/lora/labels/labels.parquet",
7
+ "training_source": "/home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/aifi_scanvi_rebuild_20260916/reference/aifi_reference_f01common.h5ad",
8
+ "target_truth_used_for_fitting": false,
9
+ "classifier": "aifi_scanvi_rebuild_20260916_frozen_predict[aifi_scanvi_f01common_v1]",
10
+ "labels": [
11
+ "T cell",
12
+ "B cell",
13
+ "Monocyte",
14
+ "NK cell",
15
+ "DC",
16
+ "Other"
17
+ ],
18
+ "l2_labels": [
19
+ "ASDC",
20
+ "CD14 monocyte",
21
+ "CD16 monocyte",
22
+ "CD56bright NK cell",
23
+ "CD56dim NK cell",
24
+ "CD8aa",
25
+ "DN T cell",
26
+ "Effector B cell",
27
+ "Erythrocyte",
28
+ "ILC",
29
+ "Intermediate monocyte",
30
+ "MAIT",
31
+ "Memory B cell",
32
+ "Memory CD4 T cell",
33
+ "Memory CD8 T cell",
34
+ "Naive B cell",
35
+ "Naive CD4 T cell",
36
+ "Naive CD8 T cell",
37
+ "Plasma cell",
38
+ "Platelet",
39
+ "Progenitor cell",
40
+ "Proliferating NK cell",
41
+ "Proliferating T cell",
42
+ "Transitional B cell",
43
+ "Treg",
44
+ "cDC1",
45
+ "cDC2",
46
+ "gdT",
47
+ "pDC"
48
+ ],
49
+ "n_cells": 31500,
50
+ "n_genes": 1005,
51
+ "note": "Evaluation-only annotation with a frozen AIFI scANVI (zero query-training epochs); L1 outside PBMC5 -> Other, never dropped.",
52
+ "label_source_column": "AIFI_L2 (reference) -> AIFI_L2_TO_L1 -> PBMC5 + Other",
53
+ "query_train_epochs": 0,
54
+ "confidence_threshold": 0.0,
55
+ "subset": false,
56
+ "evaluator_aligned": true,
57
+ "gene_space": {
58
+ "join_key": "ensembl_id",
59
+ "model_genes": 1005,
60
+ "query_genes": 1004,
61
+ "model_genes_missing_from_query_zero_padded": 1,
62
+ "query_genes_outside_model_dropped": 0,
63
+ "rule": "query is subset/reordered to the model's gene list; zero-padding of absent model genes is refused unless --allow-missing-genes"
64
+ },
65
+ "readout": null,
66
+ "query_build": {
67
+ "kind": "generated_npz",
68
+ "poisson_note": "one draw over the whole NPZ, then the scored donors' rows",
69
+ "readout": "poisson",
70
+ "seed": 20260916,
71
+ "set": "lora",
72
+ "source_path": "/home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/paper_figures_strictpairs_20261012/generated/immicro/healthy/fold3/n10/lora.npz",
73
+ "source_sha256": "2c5af0871471ce923832404cb26734abd7d4926d07133a8405c6d130a1dd128f"
74
+ },
75
+ "model": {
76
+ "scanvi_model_dir": "/home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/aifi_scanvi_rebuild_20260916/runs/aifi_scanvi_f01common_v1/scanvi_model",
77
+ "model_pt_sha256": "bf3655899e5abee435340fc008656c4a17342da0f30b70cfd43de8e9223e1930",
78
+ "model_manifest": "/home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/aifi_scanvi_rebuild_20260916/runs/aifi_scanvi_f01common_v1/MODEL_MANIFEST.json",
79
+ "held_out_summary": {
80
+ "l2_accuracy": 0.8692869740488788,
81
+ "l2_macro_f1": 0.8500925599737216,
82
+ "l1_accuracy": 0.9918367346938776,
83
+ "l1_macro_f1": 0.9715232379009036,
84
+ "pbmc5_other_accuracy": 0.9920886873267826,
85
+ "pbmc5_other_macro_f1": 0.9812088972148597
86
+ }
87
+ },
88
+ "label_counts": {
89
+ "celltype_l1_pred": {
90
+ "T cell": 20332,
91
+ "Monocyte": 5204,
92
+ "B cell": 2705,
93
+ "NK cell": 2186,
94
+ "DC": 767,
95
+ "Other": 306
96
+ },
97
+ "aifi_l1": {
98
+ "T cell": 20332,
99
+ "Monocyte": 5204,
100
+ "B cell": 2705,
101
+ "NK cell": 2186,
102
+ "DC": 767,
103
+ "ILC": 256,
104
+ "Progenitor cell": 36,
105
+ "Erythrocyte": 10,
106
+ "Platelet": 4
107
+ },
108
+ "aifi_l2": {
109
+ "Memory CD4 T cell": 5624,
110
+ "Naive CD4 T cell": 5292,
111
+ "CD14 monocyte": 3448,
112
+ "Memory CD8 T cell": 2421,
113
+ "Naive CD8 T cell": 2400,
114
+ "gdT": 2267,
115
+ "Memory B cell": 2209,
116
+ "CD56dim NK cell": 1369,
117
+ "CD16 monocyte": 1094,
118
+ "Treg": 999,
119
+ "Intermediate monocyte": 662,
120
+ "CD8aa": 630,
121
+ "CD56bright NK cell": 625,
122
+ "cDC2": 601,
123
+ "MAIT": 569,
124
+ "ILC": 256,
125
+ "Naive B cell": 245,
126
+ "Proliferating NK cell": 192,
127
+ "Effector B cell": 181,
128
+ "DN T cell": 109,
129
+ "pDC": 100,
130
+ "Plasma cell": 42,
131
+ "cDC1": 40,
132
+ "Progenitor cell": 36,
133
+ "Transitional B cell": 28,
134
+ "ASDC": 26,
135
+ "Proliferating T cell": 21,
136
+ "Erythrocyte": 10,
137
+ "Platelet": 4
138
+ }
139
+ },
140
+ "confidence": {
141
+ "mean_l2_max_prob": 0.9200797791518862,
142
+ "mean_l1_mass": 0.984683632850647,
143
+ "frac_l2_max_prob_ge_0.5": 0.9781269841269842
144
+ },
145
+ "timings_s": {
146
+ "predict": 0.2,
147
+ "total": 0.5
148
+ },
149
+ "versions": {
150
+ "scvi-tools": "1.4.1",
151
+ "torch": "2.11.0+cu130",
152
+ "anndata": "0.12.19"
153
+ },
154
+ "device": "cpu",
155
+ "created_at_utc": "2026-10-15T09:51:15.401510+00:00"
156
+ }
paper-releases/pbisc-diffusion/updates/20261015T095445Z-all-width-results/diffusion/dataset/server_1/model8/plans/paper_figures_strictpairs_20261012/recoveries/all_width_results_20261015/immicro/healthy/fold3/n40/score/README.md ADDED
@@ -0,0 +1,60 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ # score_ft.py output: immicro, 21 scored donors
2
+
3
+ Arms: lora. Every arm is scored on the same donors against the same observed reference.
4
+
5
+ ## Inputs and fixed contracts
6
+ - Observed reference: `/home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/paired_finetune_intradataset_20260927/scoring_cache/immicro/reference.npz` (sha c5e2547be3ec), built from datadir:/home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/paired_finetune_intradataset_20260927/data/immicro;
7
+ observed cells sum exactly to the features pseudobulk of every donor. Observed labels: /home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/utility_studies_final6k_20260925/immicro/labels/observed_immicro/labels.parquet.
8
+ - Generated cells: `generated_counts` read out once with Poisson(seed 20260916) over the **whole NPZ in row order**
9
+ (`poisson_readout.poisson_integerise`), then the scored donors' rows. These integer counts are used for labels, embedding,
10
+ depth and the contrast. Pseudobulk uses the summed `generated_counts` (rates), as `score_generated.py`.
11
+ - Labels: frozen f01common scANVI (`predict_scanvi.py`, CPU, zero query epochs), six-type gate ['T cell', 'B cell', 'Monocyte', 'NK cell', 'DC', 'Other']; query genes =
12
+ the 1,006-gene annotation list minus genes the dataset's sc assay did not measure in every sample (1004 genes).
13
+ - Scoring genes: 6k panel genes measured by both assays in every sample of the dataset (5508 genes).
14
+
15
+ ## Definitions
16
+ 1. **Composition**: fraction of each donor's cells per six-type label (all generated cells; all observed QC cells).
17
+ `comp_l1` = sum over the six labels of |generated - observed| (immicro_common.l1). `comp_l1_obs_loo_null` = L1 of the
18
+ donor's observed composition to the mean of the *other scored donors'* observed compositions. `composition_top1` =
19
+ fraction of donors whose generated composition is closest (L1) to their own observed composition.
20
+ 2. **Pseudobulk**: `pb_r` = Pearson r of CPM-log1p(summed generated_counts) vs CPM-log1p(observed pseudobulk) on the scoring
21
+ genes (evaluate_realbulk.cpm_log1p / paired_r). `pb_top1` = the donor's generated pseudobulk is closest (Pearson) to its own
22
+ observed pseudobulk among the 21 scored donors (immicro_common.retrieval = evaluate_realbulk.top1 arithmetic).
23
+ 3. **Precision / coverage / density** (stage_b_embed.py functions): per-cell CP10K over the scoring genes + log1p; PCA-50
24
+ (randomized, random_state 20260925) and k = 10 real-real k-NN balls fitted on **R1 of the scored donors only**.
25
+ Reference rule (independent of fold and arm): per donor, cells in canonical order (library_id+barcode), one
26
+ permutation from `default_rng([20260925, uint64(sha256(donor)[:8])])`; R1 = first n, R2 = next n,
27
+ n = min(150, n_cells // 2) (3150 R1 cells here). Generated query: per donor n cells (the donor's R1 size),
28
+ without replacement, `default_rng([20260926, same key])`. Precision = fraction of generated cells inside any R1 ball
29
+ (Kynkaanniemi 2019); coverage = fraction of R1 cells whose ball holds a generated cell; density = Naeem 2020.
30
+ Per-donor precision = that donor's generated cells; per-donor coverage = that donor's R1 cells (the pooled values are
31
+ their n-weighted means; plain means when every donor has 150 reference cells). R2 (held-out real cells of the same donors) is the
32
+ perfect-generator control: precision 0.9940, coverage 1.0000.
33
+ **Depth matched**: stage_b_embed depth matching run pairwise (R1 vs this arm): per donor and within-donor rank of detected
34
+ genes, both cells are thinned by UMI sampling without replacement to the smaller detected-gene count; PCA kept from
35
+ un-thinned R1, radii recomputed on thinned R1; fresh rng(20260929) per arm. R2 control: precision
36
+ 0.9927, coverage 1.0000.
37
+ 4. **Monocyte %** = 100 x Monocyte fraction (all cells) per donor; **median UMI per cell** = median over cells of the
38
+ Poisson-read (generated) / observed counts summed over the scoring genes (per donor, and pooled).
39
+ 5. **Group contrast** (T, B, Monocyte, NK): not computed (--no-contrast).
40
+ Genes per type = scoring genes detected (count > 0) in >= 1 % of the scored donors' observed
41
+ cells of that type. Primary statistic `mean_cp10k`: per-cell CP10K over the scoring genes; per donor the mean over its
42
+ cells of the type (donors with >= 1 such cell); group mean = mean over the group's donors (donor-balanced);
43
+ logFC = log2(case mean + 1) - log2(control mean + 1). Secondary `pseudobulk_log1p_cpm`: the SLE benchmark evaluator's
44
+ statistic (donor x type summed counts, log1p CPM over the scoring genes, mean case - mean control;
45
+ evaluate_generated_vs_truth.group_log_fold_change). Both are computed on the generated cells (their frozen labels) and on
46
+ the observed cells; `r_generated` = Pearson r of the two logFC vectors. Broadcast baseline `r_broadcast`: the same
47
+ observed vector against the logFC of the input bulk (condition NPZ `bulk_counts` of the arm, scoring genes, per-donor
48
+ CP10K resp. log1p CPM, group means). `partial_r_generated_given_broadcast`: r of the OLS residuals of observed and
49
+ generated logFC on the bulk logFC (residual_specificity.py).
50
+ 6. **Top-50 DEG overlap** (contrast.csv rows `statistic = welch_top50_deg`; summary `deg_top50`): not computed (--no-deg).
51
+
52
+ ## Files
53
+ - `per_donor.csv`: one row per arm x donor (all per-donor quantities above).
54
+ - `summary.json`: per arm the donor means / pooled values, provenance (NPZ sha, receipt check, generation metadata,
55
+ Poisson nnz of the whole NPZ, annotation contract), and the reference block (PCA, R2 control).
56
+ - `contrast.csv`: per arm x cell type x statistic (`mean_cp10k`, `pseudobulk_log1p_cpm`: logFC r; `welch_top50_deg`:
57
+ top-50 DEG overlap, T / B / Monocyte / NK / DC; columns of the other kind are empty).
58
+ - `arms/<arm>/labels/` (predict_scanvi.py labels + manifest), `arms/<arm>/generated_cells.parquet` (NPZ row, donor, label,
59
+ UMI on the scoring genes, P/C subsample flag), `arms/<arm>/deg_top50_lists.csv` (observed, generated and broadcast
60
+ top-50 gene lists, Ensembl ids, rank order).
paper-releases/pbisc-diffusion/updates/20261015T095445Z-all-width-results/diffusion/dataset/server_1/model8/plans/paper_figures_strictpairs_20261012/recoveries/all_width_results_20261015/immicro/healthy/fold3/n40/score/per_donor.csv ADDED
@@ -0,0 +1,22 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ arm,donor,group,n_generated_cells,n_observed_cells,n_reference_cells,gen_T cell,obs_T cell,gen_B cell,obs_B cell,gen_Monocyte,obs_Monocyte,gen_NK cell,obs_NK cell,gen_DC,obs_DC,gen_Other,obs_Other,comp_l1,comp_l1_obs_loo_null,pb_r,pb_own_rank,pb_top1,precision,coverage,precision_depth_matched,coverage_depth_matched,mono_pct_gen,mono_pct_obs,median_umi_gen,median_umi_obs
2
+ lora,HS1,DB1,1500,4384,150,0.6946666666666667,0.6332116788321168,0.07733333333333334,0.05862226277372263,0.08,0.13822992700729927,0.09466666666666666,0.14393248175182483,0.04133333333333333,0.018476277372262775,0.012,0.007527372262773723,0.21499148418491482,0.1477341288426135,0.9093328925461533,3,False,0.9866666666666667,1.0,0.9933333333333333,0.9933333333333333,8.0,13.822992700729927,2627.0,1738.0
3
+ lora,HS4,DB4,1500,4167,150,0.6753333333333333,0.54307655387569,0.06333333333333334,0.04535637149028078,0.15066666666666667,0.2371010319174466,0.07133333333333333,0.14254859611231102,0.024666666666666667,0.02423806095512359,0.014666666666666666,0.007679385649148068,0.31529925605951525,0.2034821822143433,0.9074258685255334,16,False,1.0,0.9,0.9933333333333333,0.9866666666666667,15.066666666666666,23.71010319174466,2829.0,2111.0
4
+ lora,HS10,DB4,1500,4115,150,0.666,0.5244228432563791,0.14533333333333334,0.18347509113001215,0.10666666666666667,0.13001215066828675,0.05,0.13754556500607534,0.020666666666666667,0.021385176184690158,0.011333333333333334,0.0031591737545565005,0.2995026326447955,0.3134557004122763,0.9060411573369928,10,False,0.9733333333333334,0.9466666666666667,0.9866666666666667,0.9933333333333333,10.666666666666668,13.001215066828674,2834.5,2063.0
5
+ lora,HS15,DB4,1500,4592,150,0.504,0.46972996515679444,0.08066666666666666,0.04638501742160279,0.308,0.37282229965156793,0.056,0.08776132404181185,0.03933333333333333,0.0195993031358885,0.012,0.0037020905923344947,0.19316724738675956,0.38777794593743353,0.9173977433017951,3,False,0.9933333333333333,0.8866666666666667,0.9866666666666667,0.98,30.8,37.282229965156795,2706.0,2302.0
6
+ lora,HS23,DB6,1500,1680,150,0.6353333333333333,0.5630952380952381,0.07466666666666667,0.0994047619047619,0.208,0.2386904761904762,0.04933333333333333,0.06904761904761905,0.023333333333333334,0.025,0.009333333333333334,0.004761904761904762,0.1536190476190476,0.16257609013548865,0.9137096020667406,4,False,0.9933333333333333,0.9333333333333333,0.9866666666666667,0.9866666666666667,20.8,23.86904761904762,2671.5,2296.0
7
+ lora,HS29,DB5,1500,4285,150,0.6526666666666666,0.6550758459743291,0.06933333333333333,0.03663943990665111,0.164,0.19883313885647608,0.06533333333333333,0.0823803967327888,0.03666666666666667,0.022870478413068846,0.012,0.004200700116686115,0.10857876312718796,0.11412144983123255,0.9130503150598647,5,False,1.0,0.9533333333333334,1.0,0.9866666666666667,16.400000000000002,19.883313885647606,2880.5,2230.0
8
+ lora,HS30,DB3,1500,6447,150,0.66,0.5667752442996743,0.06066666666666667,0.08127811385140375,0.17866666666666667,0.26477431363424847,0.042,0.049325267566309915,0.048,0.03489995346672871,0.010666666666666666,0.002947107181634869,0.22808872343725764,0.20007609013548855,0.9106938446207828,1,True,0.9933333333333333,0.9733333333333334,0.9933333333333333,1.0,17.866666666666667,26.47743136342485,2899.5,2410.0
9
+ lora,HS40,DB2,1500,3867,150,0.6573333333333333,0.6938194983191104,0.04533333333333334,0.045771916214119475,0.12533333333333332,0.15490043961727437,0.11533333333333333,0.07525213343677269,0.04466666666666667,0.026377036462373934,0.012,0.003878975950349108,0.1329837083010085,0.17895195202514844,0.9085255634449021,4,False,0.9933333333333333,0.9866666666666667,0.9933333333333333,1.0,12.533333333333333,15.490043961727437,2496.5,1477.0
10
+ lora,HS49,DB3,1500,3893,150,0.7473333333333333,0.6773696378114564,0.04933333333333333,0.027228358592345236,0.10866666666666666,0.1857179553043925,0.04933333333333333,0.07346519393783714,0.032,0.03056768558951965,0.013333333333333334,0.005651168764449011,0.2023662984844593,0.15437239435175942,0.9025565605495336,2,False,0.9933333333333333,0.9866666666666667,0.9933333333333333,1.0,10.866666666666665,18.57179553043925,2794.0,2103.0
11
+ lora,HS53,DB7,1500,1544,150,0.7,0.7506476683937824,0.084,0.10233160621761658,0.12466666666666666,0.08290155440414508,0.04733333333333333,0.040803108808290155,0.03333333333333333,0.01878238341968912,0.010666666666666666,0.0045336787564766836,0.13795854922279796,0.352065151201056,0.8963779652860657,12,False,0.9933333333333333,0.9733333333333334,1.0,1.0,12.466666666666667,8.290155440414509,2808.0,2239.5
12
+ lora,HS61,DB7,1500,1607,150,0.48533333333333334,0.4971997510889857,0.08466666666666667,0.1001866832607343,0.2713333333333333,0.29869321717485997,0.10933333333333334,0.07093963907902924,0.036,0.02862476664592408,0.013333333333333334,0.0043559427504667085,0.10949263638249326,0.2978358910066771,0.9177751961576739,7,False,0.9933333333333333,0.9133333333333333,0.9866666666666667,1.0,27.133333333333333,29.869321717485995,2521.5,2387.0
13
+ lora,HS62,DB3,1500,4121,150,0.74,0.6699830138315943,0.064,0.07789371511768989,0.09466666666666666,0.1400145595729192,0.056666666666666664,0.08881339480708565,0.032,0.02062606163552536,0.012666666666666666,0.0026692550351856345,0.18277667232872274,0.1313498053106149,0.9052526687731723,1,True,0.9866666666666667,0.9933333333333333,0.9933333333333333,1.0,9.466666666666667,14.00145595729192,2849.5,2159.0
14
+ lora,HS63,DB5,1500,4391,150,0.7326666666666667,0.7214757458437714,0.076,0.05465725347301298,0.09466666666666666,0.15053518560692325,0.05466666666666667,0.0530630835800501,0.026,0.016624914598041447,0.016,0.0036438168982008655,0.11173703788051316,0.2311605312893207,0.9024409218506223,9,False,1.0,0.9666666666666667,1.0,0.9866666666666667,9.466666666666667,15.053518560692325,2831.5,2196.0
15
+ lora,HS69,DB6,1500,1765,150,0.7026666666666667,0.6957507082152975,0.078,0.07932011331444759,0.138,0.15637393767705382,0.059333333333333335,0.04645892351274788,0.017333333333333333,0.020396600566572238,0.004666666666666667,0.0016997167138810198,0.04551463644948057,0.18845739972958275,0.9084566864821804,6,False,0.9933333333333333,0.98,1.0,1.0,13.8,15.637393767705381,2483.0,1982.0
16
+ lora,HS78,DB1,1500,4299,150,0.678,0.6366596882996045,0.12133333333333333,0.08792742498255408,0.08266666666666667,0.12281926029309141,0.072,0.1139799953477553,0.03333333333333333,0.02814608048383345,0.012666666666666666,0.0104675505931612,0.1642651779483602,0.13722843671536716,0.902709431939236,2,False,0.9933333333333333,0.9933333333333333,1.0,1.0,8.266666666666666,12.28192602930914,2776.5,1732.0
17
+ lora,HS79,DB5,1500,4239,150,0.6793333333333333,0.6161830620429346,0.102,0.09648502005189903,0.12866666666666668,0.15876385940080207,0.054,0.11181882519462137,0.022,0.014154281670205236,0.014,0.0025949516395376267,0.17583203585751359,0.08679629285174892,0.9088447836314923,10,False,0.9933333333333333,0.82,1.0,0.98,12.866666666666667,15.876385940080207,2664.5,2188.0
18
+ lora,HS89,DB2,1500,3796,150,0.6706666666666666,0.5795574288724974,0.04066666666666666,0.045574288724973655,0.154,0.19836670179135932,0.08133333333333333,0.14673340358271866,0.04066666666666666,0.022128556375131718,0.012666666666666666,0.007639620653319284,0.22934878819810325,0.12946698617378555,0.9057314519322218,4,False,0.9933333333333333,1.0,0.9933333333333333,1.0,15.4,19.836670179135933,2579.0,1510.0
19
+ lora,HS90,DB7,1500,1291,150,0.7006666666666667,0.6839659178931061,0.06266666666666666,0.06584043377226956,0.14266666666666666,0.13632842757552285,0.043333333333333335,0.0844306738962045,0.036,0.024012393493415957,0.014666666666666666,0.005422153369481022,0.08854221533694809,0.15397753679197315,0.8891756707273317,15,False,0.9933333333333333,0.9466666666666667,0.9933333333333333,1.0,14.266666666666666,13.632842757552286,2802.5,2183.0
20
+ lora,HS100,DB6,1500,1838,150,0.66,0.6784548422198041,0.06733333333333333,0.05005440696409141,0.17466666666666666,0.13547334058759522,0.043333333333333335,0.11588683351468988,0.036,0.011969532100108813,0.018666666666666668,0.008161044613710556,0.1820166848023213,0.18517962259574094,0.9089774235539262,6,False,1.0,0.9133333333333333,0.9933333333333333,0.9866666666666667,17.466666666666665,13.547334058759523,2761.5,2221.0
21
+ lora,HS106,DB2,1500,3949,150,0.5773333333333334,0.40845783742719677,0.064,0.03950367181564953,0.21666666666666667,0.2985565966067359,0.088,0.21144593567991896,0.04,0.03545201316789061,0.014,0.006583945302608255,0.4106717312399764,0.4984721560729047,0.9184692610111472,3,False,1.0,0.96,1.0,1.0,21.666666666666668,29.855659660673588,2600.0,1685.0
22
+ lora,HS110,DB1,1500,4176,150,0.618,0.5744731800766284,0.15733333333333333,0.1285919540229885,0.112,0.15158045977011494,0.06,0.10871647509578544,0.04066666666666666,0.03089080459770115,0.012,0.005747126436781609,0.17659386973180072,0.15437477463529722,0.9096409086831666,2,False,0.98,1.0,0.98,0.9933333333333333,11.200000000000001,15.158045977011495,2645.5,1704.5
paper-releases/pbisc-diffusion/updates/20261015T095445Z-all-width-results/diffusion/dataset/server_1/model8/plans/paper_figures_strictpairs_20261012/recoveries/all_width_results_20261015/immicro/healthy/fold3/n40/score/summary.json ADDED
@@ -0,0 +1,213 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "schema": "paired_ft_scores.v1",
3
+ "dataset": "immicro",
4
+ "written_utc": "2026-10-15T09:51:41.850863+00:00",
5
+ "command": [
6
+ "/home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/paired_finetune_intradataset_20260927/tools/score_ft.py",
7
+ "--dataset",
8
+ "immicro",
9
+ "--out",
10
+ "/home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/paper_figures_strictpairs_20261012/recoveries/all_width_results_20261015/immicro/healthy/fold3/n40/score",
11
+ "--arm",
12
+ "lora=/home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/paper_figures_strictpairs_20261012/generated/immicro/healthy/fold3/n40/lora.npz",
13
+ "--condition",
14
+ "lora=/home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/paper_figures_strictpairs_20261012/data/immicro/healthy/fold3/n40/test_raw.npz",
15
+ "--donors",
16
+ "/home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/paper_figures_strictpairs_20261012/recoveries/all_width_results_20261015/immicro/healthy/fold3/n40/test_samples.txt",
17
+ "--threads",
18
+ "2",
19
+ "--no-contrast",
20
+ "--no-deg"
21
+ ],
22
+ "arms": [
23
+ "lora"
24
+ ],
25
+ "donors": [
26
+ "HS1",
27
+ "HS4",
28
+ "HS10",
29
+ "HS15",
30
+ "HS23",
31
+ "HS29",
32
+ "HS30",
33
+ "HS40",
34
+ "HS49",
35
+ "HS53",
36
+ "HS61",
37
+ "HS62",
38
+ "HS63",
39
+ "HS69",
40
+ "HS78",
41
+ "HS79",
42
+ "HS89",
43
+ "HS90",
44
+ "HS100",
45
+ "HS106",
46
+ "HS110"
47
+ ],
48
+ "n_donors": 21,
49
+ "reference": {
50
+ "cache": "/home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/paired_finetune_intradataset_20260927/scoring_cache/immicro",
51
+ "reference_sha256": "c5e2547be3ec3b12cb0c0b404a49e14a046ae59d40be70427f98f083a76bce17",
52
+ "features_sha256": "735255066ce7ebbac13a1fdfd058e26f31edd60314cc02fd589b0a292dbbc838",
53
+ "n_r1_cells": 3150,
54
+ "pca": {
55
+ "n_components": 50,
56
+ "explained_variance_ratio_sum": 0.3122588098049164,
57
+ "n_fit_cells": 3150
58
+ },
59
+ "r2_control": {
60
+ "precision": 0.993968253968254,
61
+ "coverage": 1.0,
62
+ "density": 2.678,
63
+ "n_query": 3150,
64
+ "depth_matched": {
65
+ "precision": 0.9926984126984127,
66
+ "coverage": 1.0,
67
+ "density": 2.6237142857142857
68
+ }
69
+ },
70
+ "observed_l1_loo_null_mean": 0.20994821515523107
71
+ },
72
+ "contrast_definition": {
73
+ "enabled": false,
74
+ "reason": "--no-contrast"
75
+ },
76
+ "deg_definition": {
77
+ "enabled": false,
78
+ "reason": "--no-deg"
79
+ },
80
+ "headline": {
81
+ "lora": {
82
+ "comp_l1": 0.1839689141249513,
83
+ "comp_l1_obs_loo_null": 0.20994821515523107,
84
+ "precision": 0.9926984126984127,
85
+ "coverage": 0.9536507936507936,
86
+ "precision_dm": 0.9936507936507937,
87
+ "coverage_dm": 0.993968253968254,
88
+ "pb_r_median": 0.9085255634449021,
89
+ "pb_top1": 0.09523809523809523,
90
+ "mono_pct_gen": 15.06984126984127,
91
+ "mono_pct_obs": 18.816613491945674,
92
+ "median_umi_gen": 2720.0,
93
+ "median_umi_obs": 2016.0,
94
+ "seconds": 6.8
95
+ }
96
+ },
97
+ "per_arm": {
98
+ "lora": {
99
+ "arm": "lora",
100
+ "npz": "/home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/paper_figures_strictpairs_20261012/generated/immicro/healthy/fold3/n40/lora.npz",
101
+ "npz_sha256": "c2da20abe7f12a7801e5e772324c8d0689016b04b17cf26ea0baf043f947e79a",
102
+ "receipt_verified": true,
103
+ "generation": {
104
+ "checkpoint": "/home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/paper_figures_strictpairs_20261012/runs/immicro/healthy/fold3/n40/lora/checkpoint_ft.pt",
105
+ "checkpoint_sha256": "0dc339216cbd49ebb6d57ebd802faaa8ba950464073cbfc11e97baa17e172bea",
106
+ "input_condition_path": "/home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/paper_figures_strictpairs_20261012/data/immicro/healthy/fold3/n40/test_raw.npz",
107
+ "input_condition_sha256": "dce8858d52803f436b448466b5619f696cb6df84bb2051772a78d792f089669b",
108
+ "seed": 20260928,
109
+ "steps": 50,
110
+ "support_readout": "bernoulli",
111
+ "weights": "ema"
112
+ },
113
+ "condition_for_broadcast": null,
114
+ "poisson": {
115
+ "seed": 20260916,
116
+ "rule": "whole NPZ, rows in NPZ order",
117
+ "nnz_whole_npz": 9477563,
118
+ "median_library_whole_npz_panel": 2721.0,
119
+ "n_rows_whole_npz": 31500
120
+ },
121
+ "annotation": {
122
+ "model_pt_sha256": "bf3655899e5abee435340fc008656c4a17342da0f30b70cfd43de8e9223e1930",
123
+ "zero_padded_model_genes": 1,
124
+ "label_counts": {
125
+ "T cell": 20756,
126
+ "Monocyte": 4747,
127
+ "B cell": 2502,
128
+ "NK cell": 2044,
129
+ "DC": 1056,
130
+ "Other": 395
131
+ },
132
+ "mean_l2_max_prob": 0.9106624198432952,
133
+ "predict_seconds": 3.1
134
+ },
135
+ "n_donors": 21,
136
+ "n_generated_cells": 31500,
137
+ "composition": {
138
+ "l1_mean": 0.1839689141249513,
139
+ "l1_median": 0.17659386973180072,
140
+ "l1_obs_loo_null_mean": 0.20994821515523107,
141
+ "l1_generated_loo_mean_vs_observed_mean": 0.2203516293973386,
142
+ "composition_top1": 0.09523809523809523,
143
+ "mean_fraction_generated": {
144
+ "T cell": 0.658921,
145
+ "B cell": 0.079429,
146
+ "Monocyte": 0.150698,
147
+ "NK cell": 0.064889,
148
+ "DC": 0.033524,
149
+ "Other": 0.01254
150
+ },
151
+ "mean_fraction_observed": {
152
+ "T cell": 0.611399,
153
+ "B cell": 0.07393,
154
+ "Monocyte": 0.188166,
155
+ "NK cell": 0.097826,
156
+ "DC": 0.023582,
157
+ "Other": 0.005097
158
+ }
159
+ },
160
+ "pseudobulk": {
161
+ "n_genes": 5508,
162
+ "r_median": 0.9085255634449021,
163
+ "r_mean": 0.907742186546692,
164
+ "top1": 0.09523809523809523,
165
+ "n_top1": 2,
166
+ "own_rank_median": 4.0,
167
+ "chance_top1": 0.047619047619047616
168
+ },
169
+ "precision_coverage": {
170
+ "precision": 0.9926984126984127,
171
+ "coverage": 0.9536507936507936,
172
+ "density": 2.801619047619048,
173
+ "n_query": 3150,
174
+ "n_reference": 3150
175
+ },
176
+ "precision_coverage_depth_matched": {
177
+ "precision": 0.9936507936507937,
178
+ "coverage": 0.993968253968254,
179
+ "density": 3.819746031746032,
180
+ "detected_median_before": {
181
+ "R1": 367.0,
182
+ "Q": 287.0
183
+ },
184
+ "detected_median_after": {
185
+ "R1": 287.0,
186
+ "Q": 287.0
187
+ }
188
+ },
189
+ "monocyte_pct": {
190
+ "generated_mean_over_donors": 15.06984126984127,
191
+ "observed_mean_over_donors": 18.816613491945674,
192
+ "generated_pooled_cells": 15.06984126984127
193
+ },
194
+ "median_umi_per_cell_scoring_genes": {
195
+ "generated_pooled": 2720.0,
196
+ "observed_pooled": 2016.0,
197
+ "generated_mean_of_donor_medians": 2717.21435546875,
198
+ "observed_mean_of_donor_medians": 2043.6666666666667
199
+ },
200
+ "seconds": 6.8
201
+ }
202
+ },
203
+ "code_sha256": {
204
+ "/home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/paired_finetune_intradataset_20260927/tools/score_ft.py": "ec5f40b4cea6d5062d0138f3b934abb6465e34cbfeac869c8a0906924c033aec",
205
+ "/home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/paired_finetune_intradataset_20260927/tools/ft_common.py": "4a6366b0f22208cd58714fc0261b8840c643b9d4569704d560cfd93534cbc747",
206
+ "/home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/utility_studies_final6k_20260925/umap/cell_immicro_5arm/tools/stage_b_embed.py": "d056cfdf38fb0e5f478756f370174e993b75d0c973c48e02e21749175a4ca2da",
207
+ "/home/sj_server_1/PBISC/immun-pbmc-fm/bulk2sc-paper/scripts/evaluate_generated_vs_truth.py": "48b12d794782b840838853e93e0fc55fab00532c4b3698f4588e926b985d2881",
208
+ "/home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/utility_studies_final6k_20260925/immicro/tools/immicro_common.py": "c5c30e917148cc5e664e91ea30c11bbdff9b6d1f53a3e0a13e16b1917eff37e9",
209
+ "/home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/aifi_scanvi_rebuild_20260916/predict_scanvi.py": "482ee5dcf4d72b54bc36cbb6dcff62e5030bc7afc46cb5fb01eca73a82ee45a5",
210
+ "/home/sj_server_1/PBISC/immun-pbmc-fm/model_8_sparse_data_diffusion/plans/aifi_scanvi_rebuild_20260916/poisson_readout.py": "8bfa080942fbcdc89ae23b276524a1a83266fb8cbc56b9af279e50f82e6cde38"
211
+ },
212
+ "seconds": 8.9
213
+ }