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ChromBPNet: bias factorized, base-resolution deep learning models of chromatin accessibility reveal cis-regulatory sequence syntax, transcription factor footprints and regulatory variants

2024-12-25

Abstract excerpt

<h4>ABSTRACT</h4> Despite extensive mapping of cis-regulatory elements (cREs) across cellular contexts with chromatin accessibility assays, the sequence syntax and genetic variants that regulate transcription factor (TF) binding and chromatin accessibility at context-specific cREs remain elusive. We introduce ChromBPNet, a deep learning DNA sequence model of base-resolution accessibility profiles that detects, le...

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Literature Corpus work
9afe0a8d-6a50-59e8-96ee-8cf3817fb329
DOI
10.1101/2024.12.25.630221
Open publication

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ChromBPNet: bias factorized, base-resolution deep learning models of chromatin accessibility reveal cis-regulatory sequence syntax, transcription factor footprints and regulatory variantsDOI 10.1101/2024.12.25.630221
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