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ROSE: a deep learning based framework for predicting ribosome stalling
Sai Zhang, Hailin Hu, Jingtian Zhou, Xuan He, Tao Jiang, Jianyang Zeng
doi: https://doi.org/10.1101/067108
Sai Zhang
1Institute for Interdisciplinary Information Sciences, Tsinghua University, Beijing, China.
Hailin Hu
2School of Pharmaceutical Sciences, Tsinghua University, Beijing, China.
Jingtian Zhou
2School of Pharmaceutical Sciences, Tsinghua University, Beijing, China.
Xuan He
1Institute for Interdisciplinary Information Sciences, Tsinghua University, Beijing, China.
Tao Jiang
3Department of Computer Science and Engineering, University of California, Riverside, CA, USA.
4MOE Key Lab of Bioinformatics and Bioinformatics Division, TNLIST/Department of Computer Science and Technology, Tsinghua University, Beijing, China.
5Institute of Integrative Genome Biology, University of California, Riverside, CA, USA.
Jianyang Zeng
1Institute for Interdisciplinary Information Sciences, Tsinghua University, Beijing, China.
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Posted November 15, 2016.
ROSE: a deep learning based framework for predicting ribosome stalling
Sai Zhang, Hailin Hu, Jingtian Zhou, Xuan He, Tao Jiang, Jianyang Zeng
bioRxiv 067108; doi: https://doi.org/10.1101/067108
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