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

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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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  Data: <searchLink fieldCode="JN" term="%22PLoS+Computational+Biology%22">PLoS Computational Biology</searchLink>. 1/31/2023, Vol. 19 Issue 1, p1-36. 36p. 2 Diagrams, 3 Graphs, 1 Map.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=161598856
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