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

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Bibliographic Details
Title: maxATAC: Genome-scale transcription-factor binding prediction from ATAC-seq with deep neural networks.
Authors: Cazares, Tareian A.1 (AUTHOR), Rizvi, Faiz W.2 (AUTHOR), Iyer, Balaji3,4 (AUTHOR), Chen, Xiaoting5 (AUTHOR), Kotliar, Michael6 (AUTHOR), Bejjani, Anthony T.7 (AUTHOR), Wayman, Joseph A.8 (AUTHOR), Donmez, Omer5 (AUTHOR), Wronowski, Benjamin6 (AUTHOR), Parameswaran, Sreeja5 (AUTHOR), Kottyan, Leah C.5,9,10 (AUTHOR), Barski, Artem6,9,10 (AUTHOR), Weirauch, Matthew T.3,5,9,10,11 (AUTHOR), Prasath, V. B. Surya3,4,9 (AUTHOR), Miraldi, Emily R.3,4,8,9 (AUTHOR) emily.miraldi@cchmc.org
Source: PLoS Computational Biology. 1/31/2023, Vol. 19 Issue 1, p1-36. 36p. 2 Diagrams, 3 Graphs, 1 Map.
Database: Academic Search Ultimate
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ISSN:1553734X
DOI:10.1371/journal.pcbi.1010863