metadata
license: mit
tags:
- bpnet
- bpnet-lite
- genomics
- chip-seq
- transcription-factor
- tbx19
- mouse
- mm10
library_name: bpnet-lite
BPNet_ChIP-seq_TBX19
A BPNet model trained with
bpnet-lite on TBX19 (TPIT) ChIP-seq data
from mouse pituitary cells, used to model base-resolution binding signal and to
discover sequence motifs via TF-MoDISco.
TBX19 (also known as TPIT) is the transcription factor; "TPIT" is the experiment/antibody label used in the underlying ChIP-seq files from which this model was trained.
Performance
Reported metrics found in exp16_TPIT.performance.tsv.
See exp16_TPIT.evaluate.json for the full evaluation output.
Files
| File | Description |
|---|---|
exp16_TPIT.torch |
Model weights (best validation checkpoint) |
exp16_TPIT.bpnet.fit.json |
Full training configuration (architecture, data paths, chrom split, hyperparameters) |
exp16_TPIT.bpnet.attribute.json |
Configuration used for computing attributions downstream |
exp16_TPIT.performance.tsv |
Reported performance metrics |
exp16_TPIT.evaluate.json |
Full evaluation output |
exp16_TPIT.log |
Training log |