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Predicting circRNA-RBP interaction sites using a codon-based encoding and hybrid deep neural networks

Kaiming Zhang, Xiaoyong Pan, Yang Yang, Hong-Bin Shen
doi: https://doi.org/10.1101/499012
Kaiming Zhang
Department of Computer Science and Engineering, Shanghai Jiao Tong University and Key Laboratory of System Control and Information Processing, Ministry of Education of China, Shanghai, China
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Xiaoyong Pan
Department of Medical Informatics, Erasmus Medical Center, Rotterdam and Key Laboratory of System Control and Information Processing, Ministry of Education of China, Shanghai, China
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Yang Yang
Department of Computer Science and Engineering, Shanghai Jiao Tong University and Key Laboratory of System Control and Information Processing, Ministry of Education of China, Shanghai, China
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Hong-Bin Shen
Institute of Image Processing and Pattern Recognition, Shanghai Jiao Tong University, and Key Laboratory of System Control and Information Processing, Ministry of Education of China, Shanghai, China
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Posted December 18, 2018.
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Predicting circRNA-RBP interaction sites using a codon-based encoding and hybrid deep neural networks
Kaiming Zhang, Xiaoyong Pan, Yang Yang, Hong-Bin Shen
bioRxiv 499012; doi: https://doi.org/10.1101/499012
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Predicting circRNA-RBP interaction sites using a codon-based encoding and hybrid deep neural networks
Kaiming Zhang, Xiaoyong Pan, Yang Yang, Hong-Bin Shen
bioRxiv 499012; doi: https://doi.org/10.1101/499012

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