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. |
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| 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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