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Predicting gene regulatory interactions based on spatial gene expression data and deep learning

Reverse engineering of gene regulatory networks (GRNs) is a central task in systems biology. Most of the existing methods for GRN inference rely on gene co-expression analysis or TF-target binding information, where the determination of co-expression is often unreliable merely based on gene expressi...

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Detalles Bibliográficos
Autores principales:	Yang, Yang, Fang, Qingwei, Shen, Hong-Bin
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Public Library of Science 2019
Materias:	Research Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6764701/ https://www.ncbi.nlm.nih.gov/pubmed/31527870 http://dx.doi.org/10.1371/journal.pcbi.1007324

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