Add files using upload-large-folder tool
Browse files- README.md +54 -0
- best.pt +3 -0
- manifest.json +27 -0
- metrics.json +212 -0
- predictions_preview.jsonl +0 -0
- training_log.jsonl +422 -0
README.md
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---
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license: cc-by-nc-4.0
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tags:
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- dna
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- enhancer-generation
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- mdlm
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- autoregressive
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- ntv3
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- unconditional-baseline
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---
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# NTV3-AR-650M unconditional enhancer generator (T1)
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Unconditional NTv3 generation baseline for the brain 7-cell
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enhancer task. There is **no cell-type signal** at training or
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inference time, so this model learns ``p(enhancer)`` and emits a
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single mode-collapsed enhancer for every gold input regardless of
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the requested cell type. Useful as a lower bound for cell-type
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specificity (see the MDLM/AR rows in
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[explcre/biomodel_reasoning_calling_study2](https://github.com/explcre/biomodel_reasoning_calling_study2)
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``regureasoner_loop/docs/EXPERIMENTS.md``).
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Trained on `train.enhancer_generation.strat7c.n35k` (35k rows
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stratified across 7 brain cell types). MDLM-8m / MDLM-650m use the
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weighted-CE diffusion loss (1/t schedule); AR-650m uses standard
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next-token CE.
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## Files
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```
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best.pt # EMA / best-checkpoint state dict
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metrics.json # 28-column eval against gold n7k held-out test
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training_log.jsonl # per-step train metrics
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manifest.json # run config snapshot
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predictions_preview.jsonl # first 200 sampled rows (for spot-check)
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```
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## Headline eval (held-out gold n7k)
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| parse_rate | argmax_acc | on_target | off_target | specificity | FID |
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|---:|---:|---:|---:|---:|---:|
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| 1.000 | 0.150 | -16.296 | -16.339 | 0.042 | 75.584 |
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Random argmax baseline over 7 cells = 0.143; the unconditional
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baselines all sit at chance because the model has no signal to
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differentiate cell types. FID is misleadingly low (the average
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enhancer is statistically plausible) but cell-type recall is
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absent — see the cell-type-conditioned MDLM repos for the
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conditional fix.
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## Citation
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See the parent repo's `EXPERIMENTS.md` for the full per-baseline
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comparison table.
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best.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:2ebc17bf280e9d45936a9bdebe40881ddd7e214fb2cc9d0d323bca82ade2f75f
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size 1317642957
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manifest.json
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{
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"metric_name": "train_loss",
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"mode": "min",
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"records": [
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{
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"path": "/extra/zhanglab0/INDV/pengchx3/regureasoner_loop/runs/gen_ar_enhancer_generation_20260429_130402/ckpt_ar_step001800_train_loss0.0005.pt",
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"step": 1800,
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"metric": 0.0004560278612188995,
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"metric_name": "train_loss",
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"extra": {}
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},
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{
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"path": "/extra/zhanglab0/INDV/pengchx3/regureasoner_loop/runs/gen_ar_enhancer_generation_20260429_130402/ckpt_ar_step001600_train_loss0.0006.pt",
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"step": 1600,
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"metric": 0.0006041897577233613,
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"metric_name": "train_loss",
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"extra": {}
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},
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{
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"path": "/extra/zhanglab0/INDV/pengchx3/regureasoner_loop/runs/gen_ar_enhancer_generation_20260429_130402/ckpt_ar_step001400_train_loss0.0010.pt",
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"step": 1400,
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"metric": 0.0009589027031324804,
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"metric_name": "train_loss",
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"extra": {}
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}
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]
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}
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metrics.json
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{
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"basic_overall": {
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"n": 7000,
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"parse_rate": 1.0,
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"mean_pred_len": 1024.0,
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"mean_pred_gc": 0.5400828683035714,
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"mean_gold_len": 500.0,
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"mean_gold_gc": 0.5223668571428571,
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| 9 |
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"mean_gc_abs_err": 0.08570922098214286,
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"mean_length_ratio": 2.048000000000001
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},
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"basic_per_celltype": {
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"Ex": {
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"n": 1000,
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"parse_rate": 1.0,
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| 16 |
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"mean_pred_len": 1024.0,
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| 17 |
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"mean_pred_gc": 0.5391396484375
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| 18 |
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},
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| 19 |
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"In": {
|
| 20 |
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"n": 1000,
|
| 21 |
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"parse_rate": 1.0,
|
| 22 |
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"mean_pred_len": 1024.0,
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| 23 |
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"mean_pred_gc": 0.54087890625
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| 24 |
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},
|
| 25 |
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"OPC": {
|
| 26 |
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"n": 1000,
|
| 27 |
+
"parse_rate": 1.0,
|
| 28 |
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"mean_pred_len": 1024.0,
|
| 29 |
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"mean_pred_gc": 0.5410673828125
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| 30 |
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},
|
| 31 |
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"Ast": {
|
| 32 |
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"n": 1000,
|
| 33 |
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"parse_rate": 1.0,
|
| 34 |
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"mean_pred_len": 1024.0,
|
| 35 |
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"mean_pred_gc": 0.540087890625
|
| 36 |
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},
|
| 37 |
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"Oli": {
|
| 38 |
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"n": 1000,
|
| 39 |
+
"parse_rate": 1.0,
|
| 40 |
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"mean_pred_len": 1024.0,
|
| 41 |
+
"mean_pred_gc": 0.5399501953125
|
| 42 |
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},
|
| 43 |
+
"Mic": {
|
| 44 |
+
"n": 1000,
|
| 45 |
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"parse_rate": 1.0,
|
| 46 |
+
"mean_pred_len": 1024.0,
|
| 47 |
+
"mean_pred_gc": 0.5399033203125
|
| 48 |
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},
|
| 49 |
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"End": {
|
| 50 |
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"n": 1000,
|
| 51 |
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"parse_rate": 1.0,
|
| 52 |
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"mean_pred_len": 1024.0,
|
| 53 |
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"mean_pred_gc": 0.539552734375
|
| 54 |
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}
|
| 55 |
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},
|
| 56 |
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"sequence_validity": {
|
| 57 |
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"mean_length": 1024.0,
|
| 58 |
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"max_length": 1024.0,
|
| 59 |
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"min_length": 1024.0,
|
| 60 |
+
"mean_fraction_canonical": 1.0,
|
| 61 |
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"max_fraction_canonical": 1.0,
|
| 62 |
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"min_fraction_canonical": 1.0,
|
| 63 |
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"mean_gc": 0.5400828683035714,
|
| 64 |
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"max_gc": 0.6005859375,
|
| 65 |
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"min_gc": 0.4892578125,
|
| 66 |
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"mean_entropy_bits": 1.3146158034232096,
|
| 67 |
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"max_entropy_bits": 1.3919739089107828,
|
| 68 |
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"min_entropy_bits": 1.2370558577498938,
|
| 69 |
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"mean_longest_homopolymer": 10.053571428571429,
|
| 70 |
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"max_longest_homopolymer": 23.0,
|
| 71 |
+
"min_longest_homopolymer": 6.0,
|
| 72 |
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"mean_tandem_repeat_fraction": 0.1808775111607143,
|
| 73 |
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"max_tandem_repeat_fraction": 0.2958984375,
|
| 74 |
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"min_tandem_repeat_fraction": 0.080078125
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| 75 |
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},
|
| 76 |
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"sequence_validity_gold_reference": {
|
| 77 |
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"mean_length": 500.0,
|
| 78 |
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"max_length": 500.0,
|
| 79 |
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"min_length": 500.0,
|
| 80 |
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"mean_fraction_canonical": 1.0,
|
| 81 |
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"max_fraction_canonical": 1.0,
|
| 82 |
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"min_fraction_canonical": 1.0,
|
| 83 |
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"mean_gc": 0.5223668571428571,
|
| 84 |
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"max_gc": 0.896,
|
| 85 |
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"min_gc": 0.276,
|
| 86 |
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"mean_entropy_bits": 1.954767692123513,
|
| 87 |
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"max_entropy_bits": 1.9999769166331194,
|
| 88 |
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"min_entropy_bits": 1.4728614433169502,
|
| 89 |
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"mean_longest_homopolymer": 7.143714285714286,
|
| 90 |
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"max_longest_homopolymer": 42.0,
|
| 91 |
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"min_longest_homopolymer": 3.0,
|
| 92 |
+
"mean_tandem_repeat_fraction": 0.04596485714285715,
|
| 93 |
+
"max_tandem_repeat_fraction": 0.512,
|
| 94 |
+
"min_tandem_repeat_fraction": 0.0
|
| 95 |
+
},
|
| 96 |
+
"fimo_leonine_js": {
|
| 97 |
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"scanner": "fimo",
|
| 98 |
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"motif_universe_size": 2228,
|
| 99 |
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"pvalue": 0.0001,
|
| 100 |
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"heatmap": [
|
| 101 |
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[
|
| 102 |
+
0.3466716603527195
|
| 103 |
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]
|
| 104 |
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],
|
| 105 |
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"cell_types": [
|
| 106 |
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"Ex"
|
| 107 |
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],
|
| 108 |
+
"summary": {
|
| 109 |
+
"diag_mean": 0.3466716603527195,
|
| 110 |
+
"offdiag_mean": 0.0,
|
| 111 |
+
"specificity_ratio": 0.0,
|
| 112 |
+
"n_cell_types": 1
|
| 113 |
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},
|
| 114 |
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"frobenius_diff_vs_obs_self": Infinity
|
| 115 |
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},
|
| 116 |
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"fimo_ctrldna_motif_corr": {
|
| 117 |
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"scanner": "fimo",
|
| 118 |
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"per_cell": {
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| 119 |
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"Ex": {
|
| 120 |
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"pearson_r": 0.41714006519587865,
|
| 121 |
+
"r_squared": 0.1740058339916219,
|
| 122 |
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"slope": 0.08431869045042495,
|
| 123 |
+
"intercept": 0.000410988020444154,
|
| 124 |
+
"n_motifs": 2228
|
| 125 |
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}
|
| 126 |
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},
|
| 127 |
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"summary": {
|
| 128 |
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"mean_r_squared": 0.1740058339916219,
|
| 129 |
+
"min_r_squared": 0.1740058339916219,
|
| 130 |
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"max_r_squared": 0.1740058339916219,
|
| 131 |
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"n_cells": 1
|
| 132 |
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}
|
| 133 |
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},
|
| 134 |
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"fimo_tf_program_specificity": {
|
| 135 |
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"scanner": "fimo",
|
| 136 |
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"per_cell_program_fraction": {
|
| 137 |
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"Ex": 0.000185359868223917
|
| 138 |
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},
|
| 139 |
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"mean_program_fraction": 0.000185359868223917,
|
| 140 |
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"random_baseline": 0.143,
|
| 141 |
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"interpretation": "fraction of motif hits in each cell-type's generated enhancers that come from THAT cell type's known TF program (NEUROD/MEF2 for Ex, SPI1/IRF for Mic, etc.). 1/7 = random; higher = better cell-specificity."
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| 142 |
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},
|
| 143 |
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"moods_leonine_js": {
|
| 144 |
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"scanner": "moods",
|
| 145 |
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"motif_universe_size": 720,
|
| 146 |
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"pvalue": 0.0001,
|
| 147 |
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"heatmap": [
|
| 148 |
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[
|
| 149 |
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0.3472820163811928
|
| 150 |
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]
|
| 151 |
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],
|
| 152 |
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"cell_types": [
|
| 153 |
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"Ex"
|
| 154 |
+
],
|
| 155 |
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"summary": {
|
| 156 |
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"diag_mean": 0.3472820163811928,
|
| 157 |
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"offdiag_mean": 0.0,
|
| 158 |
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"specificity_ratio": 0.0,
|
| 159 |
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"n_cell_types": 1
|
| 160 |
+
},
|
| 161 |
+
"frobenius_diff_vs_obs_self": Infinity
|
| 162 |
+
},
|
| 163 |
+
"moods_ctrldna_motif_corr": {
|
| 164 |
+
"scanner": "moods",
|
| 165 |
+
"per_cell": {
|
| 166 |
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"Ex": {
|
| 167 |
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"pearson_r": 0.5058152966811763,
|
| 168 |
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"r_squared": 0.2558491143566664,
|
| 169 |
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"slope": 0.08779680255614522,
|
| 170 |
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"intercept": 0.0012669488853386875,
|
| 171 |
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"n_motifs": 720
|
| 172 |
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}
|
| 173 |
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},
|
| 174 |
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"summary": {
|
| 175 |
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"mean_r_squared": 0.2558491143566664,
|
| 176 |
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"min_r_squared": 0.2558491143566664,
|
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"max_r_squared": 0.2558491143566664,
|
| 178 |
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"n_cells": 1
|
| 179 |
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}
|
| 180 |
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},
|
| 181 |
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"moods_tf_program_specificity": {
|
| 182 |
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"scanner": "moods",
|
| 183 |
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"per_cell_program_fraction": {
|
| 184 |
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"Ex": 0.0012070370934367637
|
| 185 |
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},
|
| 186 |
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"mean_program_fraction": 0.0012070370934367637,
|
| 187 |
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"random_baseline": 0.143,
|
| 188 |
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"interpretation": "fraction of motif hits in each cell-type's generated enhancers that come from THAT cell type's known TF program (NEUROD/MEF2 for Ex, SPI1/IRF for Mic, etc.). 1/7 = random; higher = better cell-specificity."
|
| 189 |
+
},
|
| 190 |
+
"oracle": {
|
| 191 |
+
"oracle_type": "SeparateBinaryOracle",
|
| 192 |
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"n_scored": 7000,
|
| 193 |
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"n_aligned_for_fid": 7000,
|
| 194 |
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"gen_argmax_accuracy": 0.14985714285714286,
|
| 195 |
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"gen_on_target": -16.296070281074517,
|
| 196 |
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"gen_off_target": -16.33853605382783,
|
| 197 |
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"gen_specificity": 0.04246577275331376,
|
| 198 |
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"gold_argmax_accuracy": 0.9758571428571429,
|
| 199 |
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"gold_specificity": 26.760889453385555,
|
| 200 |
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"n_gold": 7000.0,
|
| 201 |
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"fid": 75.58382929553815,
|
| 202 |
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"fid_per_cell": {
|
| 203 |
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"Ex": 119.05023259080659,
|
| 204 |
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"In": 181.6494814814658,
|
| 205 |
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"OPC": 102.79811345713617,
|
| 206 |
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"Ast": 69.39535586995893,
|
| 207 |
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"Oli": 99.60272615852712,
|
| 208 |
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"Mic": 73.27570033722156,
|
| 209 |
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"End": 250.00938061199676
|
| 210 |
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}
|
| 211 |
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}
|
| 212 |
+
}
|
predictions_preview.jsonl
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
training_log.jsonl
ADDED
|
@@ -0,0 +1,422 @@
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|
| 1 |
+
{"step": 1, "loss": 0.33768609166145325, "elapsed_s": 0.8, "head": "ar"}
|
| 2 |
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{"step": 10, "loss": 0.0020572838839143515, "elapsed_s": 2.1, "head": "ar"}
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| 3 |
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{"step": 20, "loss": 0.0006668390124104917, "elapsed_s": 3.4, "head": "ar"}
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| 4 |
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{"step": 30, "loss": 0.00020201990264467895, "elapsed_s": 4.3, "head": "ar"}
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| 5 |
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{"step": 40, "loss": 0.0001245062449015677, "elapsed_s": 5.1, "head": "ar"}
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| 6 |
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| 7 |
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| 8 |
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| 9 |
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| 10 |
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| 11 |
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| 12 |
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| 13 |
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| 14 |
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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 |
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| 21 |
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| 22 |
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| 23 |
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| 24 |
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| 25 |
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| 28 |
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| 29 |
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{"step": 70, "loss": 0.05996284261345863, "elapsed_s": 24.0, "head": "ar"}
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| 30 |
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{"kind": "eval", "step": 200, "val_loss": 0.0003785018100918803, "val_n": 7000.0}
|
| 31 |
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| 32 |
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| 33 |
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| 39 |
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| 50 |
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| 53 |
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