BPNet_ChIP-seq_PIT1

A BPNet model trained with bpnet-lite on PIT1 (POU1F1) CUT&RUN data, used to model base-resolution binding signal and to discover sequence motifs via TF-MoDISco.

Performance

Reported metrics found in exp20_PIT1.performance.tsv.

See exp20_PIT1.evaluate.json for the full evaluation output.

Files

File Description
exp20_PIT1.torch Model weights (best validation checkpoint)
exp20_PIT1.bpnet.fit.json Full training configuration (architecture, data paths, chrom split, hyperparameters)
exp20_PIT1.bpnet.attribute.json Configuration used for computing attributions downstream
exp20_PIT1.performance.tsv Reported performance metrics
exp20_PIT1.evaluate.json Full evaluation output
exp20_PIT1.log Training log
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Collection including ge8rgia/BPNet_CUTandRUN_POU1F1