maxATAC: Genome-scale transcription-factor binding prediction from ATAC-seq with deep neural networks.

maxATAC: Genome-scale transcription-factor binding prediction from ATAC-seq with deep neural networks.

Transcription factors read the genome, fundamentally connecting DNA sequence to gene expression across diverse cell types. Determining how, where, and when TFs bind chromatin will advance our understanding of gene regulatory networks and cellular behavior. The 2017 ENCODE-DREAM in vivo Transcription...

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Bibliographic Details
Main Authors: Tareian A Cazares, Faiz W Rizvi, Balaji Iyer, Xiaoting Chen, Michael Kotliar, Anthony T Bejjani, Joseph A Wayman, Omer Donmez, Benjamin Wronowski, Sreeja Parameswaran, Leah C Kottyan, Artem Barski, Matthew T Weirauch, V B Surya Prasath, Emily R Miraldi
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2023-01-01
Series:PLoS Computational Biology
Online Access:https://doi.org/10.1371/journal.pcbi.1010863

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https://doi.org/10.1371/journal.pcbi.1010863

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