Author response: Predicting the effect of CRISPR-Cas9-based epigenome editing

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Authors: Sanjit Singh Batra, Alan Cabrera, Jeffrey P. Spence, Jacob Goell, Selvalakshmi Selvaraj Anand, Isaac B. Hilton, Yun S Song
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Abstract

Machine learning models reveal that histone marks are predictive of gene expression across human cell types and highlight important nuances between natural control and the effects of CRISPR-Cas9-based epigenome editing.

Fields of Study & Subjects

CRISPR and Genetic Engineering Genomics and Chromatin Dynamics Epigenetics and DNA Methylation

Publication details

Publication date
12 January 2026