The dataset viewer is not available because its heuristics could not detect any supported data files. You can try uploading some data files, or configuring the data files location manually.
Chorus background CDFs for Cherimoya / CATv1
Per-track background distributions that let chorus turn a raw Cherimoya prediction into an effect percentile and an activity percentile, rather than an uncalibrated fold-change.
This is a staging copy so that
pinellolab/chorus#107 is
testable before merge. Chorus reads backgrounds from
lucapinello/chorus-backgrounds (hardcoded in
chorus/analysis/normalization.py), where the other seven oracles' files
live; the intent is for this file to be mirrored or moved there.
| file | tracks | size |
|---|---|---|
cherimoya_pertrack.npz |
1,518 | 154 MiB |
What's in it
Three sorted 10,000-point empirical CDFs per track, keyed by ASSAY:ENCSR
(e.g. DNASE:ENCSR000EOT — the ENCODE experiment accession, because
(assay, biosample) is ambiguous for 1,188 of the 1,518 CATv1 experiments):
| CDF | built from | supports |
|---|---|---|
effect |
18,672 SNPs — 9,609 random + 9,063 DHS-proximal; |log2 FC| of alt vs ref over a 501 bp window centred on the variant |
effect percentile |
summary |
34,004 baseline positions — random + ENCODE cCREs + protein-coding TSS + Meuleman DHS summits; 501 bp window sum of the reference prediction | activity percentile |
perbin |
32 sampled bins at each of those baselines | per-bin activity axis for the browser |
signed_flags is False throughout: DNase/ATAC accessibility is unsigned, so
what matters is effect magnitude.
Provenance
Every array is accompanied by a build_config JSON blob recording the
sampling configuration, fold, device and cherimoya version, so a CDF file
can always be traced back to how it was made.
- Built by
scripts/build_backgrounds_cherimoya.pyin the PR above - Models
programmable-genomics/CATv1, fold 0 - Genome GRCh38
- Sampling the shared, seeded variant and region sets in
chorus/utils/annotations.py, reproducing the sample counts of the publishedchrombpnet_pertrack.npzexactly (effect_counts=18672,summary_counts=34004) — that match is the check that the sets really are shared, so Cherimoya's percentiles are comparable to the other oracles' - Compute 1,518 tracks in 11.1 min across 8× H200
Notes
Fold 0 only, matching chorus' ChromBPNet oracle and the fold its CDFs were built at. CATv1 uses the same chromosome partition as the ENCODE ChromBPNet annotations, so fold-0-to-fold-0 comparisons are exact.
The summary and perbin CDFs contain a small number of slightly negative
values (195 of 15.18M, at most 5 of 10,000 points in any track, minimum
−0.38 counts), always at the extreme low tail. Cherimoya's count head
predicts log(count + 1), so a near-zero-activity window can yield a
slightly negative count under expm1. These are left unclamped so that the
builder and oracle.predict() compute values identically — that agreement
is what makes a percentile meaningful. The effect CDF has no negatives.
Citation
Cherimoya / CATv1: https://github.com/jmschrei/cherimoya Chorus: https://github.com/pinellolab/chorus
- Downloads last month
- 26