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A Deep Boosting Based Approach for Capturing the Sequence Binding Preferences of RNA-Binding Proteins from High-Throughput CLIP-Seq Data
Shuya Li, Fanghong Dong, Yuexin Wu, Sai Zhang, Chen Zhang, Xiao Liu, Tao Jiang, Jianyang Zeng
doi: https://doi.org/10.1101/086421
Shuya Li
1School of Life Sciences, Tsinghua University, Beijing, China
Fanghong Dong
2Institute for Interdisciplinary Information Sciences, Tsinghua University, Beijing, China
Yuexin Wu
2Institute for Interdisciplinary Information Sciences, Tsinghua University, Beijing, China
Sai Zhang
2Institute for Interdisciplinary Information Sciences, Tsinghua University, Beijing, China
Chen Zhang
2Institute for Interdisciplinary Information Sciences, Tsinghua University, Beijing, China
Xiao Liu
1School of Life Sciences, Tsinghua University, Beijing, China
Tao Jiang
4Department of Computer Science and Engineering, University of California, Riverside, CA
5MOE Key Lab of Bioinformatics and Bioinformatics Division, TNLIST / Department of Computer Science and Technology, Tsinghua University, Beijing, China
Jianyang Zeng
2Institute for Interdisciplinary Information Sciences, Tsinghua University, Beijing, China
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Posted November 08, 2016.
A Deep Boosting Based Approach for Capturing the Sequence Binding Preferences of RNA-Binding Proteins from High-Throughput CLIP-Seq Data
Shuya Li, Fanghong Dong, Yuexin Wu, Sai Zhang, Chen Zhang, Xiao Liu, Tao Jiang, Jianyang Zeng
bioRxiv 086421; doi: https://doi.org/10.1101/086421
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