---
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 |