A computational pipeline to learn gene expression predictive models from epigenetic information at enhancers or promoters

Summary: Here, we present a computational pipeline to obtain quantitative models that characterize the relationship of gene expression with the epigenetic marking at enhancers or promoters in mouse embryonic stem cells. Our protocol consists of (i) generating predictive models of gene expression fro...

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Bibliographic Details
Main Authors: Mar González-Ramírez, Enrique Blanco, Luciano Di Croce
Format: Article
Language:English
Published: Elsevier 2023-03-01
Series:STAR Protocols
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S2666166722008280