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Article

Iterative improvement of deep learning models using synthetic regulatory genomics

2025-02-06

Abstract excerpt

Deep learning models can accurately reconstruct genome-wide epigenetic tracks from the reference genome sequence alone. But it is unclear what predictive power they have on sequence diverging from the reference, such as disease- and trait-associated variants or engineered sequences. Recent work has applied synthetic regulatory genomics to characterized dozens of deletions, inversions, and rearrangements of DNase I...

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Identifiers and source

Literature Corpus work
f277865d-e8a2-5b8c-90c0-5baa5c93b573
DOI
10.1101/2025.02.04.636130
Open publication

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Iterative improvement of deep learning models using synthetic regulatory genomicsDOI 10.1101/2025.02.04.636130
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