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license: mit
tags:
- bpnet
- bpnet-lite
- genomics
- chip-seq
- transcription-factor
- tbx19
- mouse
- mm10
library_name: bpnet-lite
---
# BPNet_ChIP-seq_TBX19
A [BPNet](https://www.nature.com/articles/s41588-021-00782-6) model trained with
[`bpnet-lite`](https://github.com/jmschrei/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 | |