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To improve the predictions of binding residues with DNA, RNA, carbohydrate, and peptide via multiple-task deep neural networks
Zhe Sun, Shuangjia Zheng, Huiying Zhao, Zhangming Niu, Yutong Lu, Yi Pan, View ORCID ProfileYuedong Yang
doi: https://doi.org/10.1101/2020.02.11.943571
Zhe Sun
1School of Data and Computer Science, Sun Yat-sen University, Guangzhou 510000, China
Shuangjia Zheng
1School of Data and Computer Science, Sun Yat-sen University, Guangzhou 510000, China
Huiying Zhao
2Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou 510000, China
Zhangming Niu
3Aladdin Healthcare Technologies Ltd. 24-26 Baltic Street West, London EC1Y OUR, UK
Yutong Lu
1School of Data and Computer Science, Sun Yat-sen University, Guangzhou 510000, China
Yi Pan
5Department of Computer Science, Georgia State University, USA
Yuedong Yang
1School of Data and Computer Science, Sun Yat-sen University, Guangzhou 510000, China
4Key Laboratory of Machine Intelligence and Advanced Computing (Sun Yat-sen University), Ministry of Education, China
Posted February 11, 2020.
To improve the predictions of binding residues with DNA, RNA, carbohydrate, and peptide via multiple-task deep neural networks
Zhe Sun, Shuangjia Zheng, Huiying Zhao, Zhangming Niu, Yutong Lu, Yi Pan, Yuedong Yang
bioRxiv 2020.02.11.943571; doi: https://doi.org/10.1101/2020.02.11.943571
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