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

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 from epigene...

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Detalles Bibliográficos
Autores principales: González-Ramírez, Mar, Blanco, Enrique, Di Croce, Luciano
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9816966/
https://www.ncbi.nlm.nih.gov/pubmed/36583961
http://dx.doi.org/10.1016/j.xpro.2022.101948