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Predicting the effect of CRISPR-Cas9-based epigenome editing

2023-10-03

Abstract excerpt

Epigenetic regulation orchestrates mammalian transcription, but functional links between them remain elusive. To tackle this problem, we use epigenomic and transcriptomic data from 13 ENCODE cell types to train machine learning models to predict gene expression from histone post-translational modifications (PTMs), achieving transcriptome-wide correlations of ∼ 0.70 − 0.79 for most cell types. Our models recapitula...

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Literature Corpus work
e1eb9ac2-aee6-5229-956d-c453d180427f
DOI
10.1101/2023.10.03.560674
Open publication

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Predicting the effect of CRISPR-Cas9-based epigenome editingDOI 10.1101/2023.10.03.560674
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