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Predicting transcription factor binding in single cells through deep learning
Laiyi Fu, Lihua Zhang, Emmanuel Dollinger, Qinke Peng, Qing Nie, Xiaohui Xie
doi: https://doi.org/10.1101/2020.01.14.905232
Laiyi Fu
1Systems Engineering Institute, School of Electronic and Information Engineering, Xi’an Jiaotong University, Xi’an, Shannxi, 710049, China
2Department of Computer Science, University of California, Irvine, CA, 92697, USA
Lihua Zhang
3Department of Mathematics, University of California, Irvine, CA, 92697, USA
5NSF-Simons Center for Multiscale Cell Fate Research, University of California, Irvine, CA, 92697, USA
Emmanuel Dollinger
3Department of Mathematics, University of California, Irvine, CA, 92697, USA
4Department of Developmental and Cell Biology, University of California, Irvine, CA, 92697, USA
5NSF-Simons Center for Multiscale Cell Fate Research, University of California, Irvine, CA, 92697, USA
6Center for Complex Biological Systems, University of California, Irvine, CA, 92697, USA
Qinke Peng
1Systems Engineering Institute, School of Electronic and Information Engineering, Xi’an Jiaotong University, Xi’an, Shannxi, 710049, China
Qing Nie
3Department of Mathematics, University of California, Irvine, CA, 92697, USA
4Department of Developmental and Cell Biology, University of California, Irvine, CA, 92697, USA
5NSF-Simons Center for Multiscale Cell Fate Research, University of California, Irvine, CA, 92697, USA
6Center for Complex Biological Systems, University of California, Irvine, CA, 92697, USA
Xiaohui Xie
2Department of Computer Science, University of California, Irvine, CA, 92697, USA
5NSF-Simons Center for Multiscale Cell Fate Research, University of California, Irvine, CA, 92697, USA
6Center for Complex Biological Systems, University of California, Irvine, CA, 92697, USA
Posted January 15, 2020.
Predicting transcription factor binding in single cells through deep learning
Laiyi Fu, Lihua Zhang, Emmanuel Dollinger, Qinke Peng, Qing Nie, Xiaohui Xie
bioRxiv 2020.01.14.905232; doi: https://doi.org/10.1101/2020.01.14.905232
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