EDCNN: identification of genome-wide RNA-binding proteins using evolutionary deep convolutional neural network.

Journal: Bioinformatics (Oxford, England)
PMID: 34694393

Abstract

MOTIVATION: RNA-binding proteins (RBPs) are a group of proteins associated with RNA regulation and metabolism, and play an essential role in mediating the maturation, transport, localization and translation of RNA. Recently, Genome-wide RNA-binding event detection methods have been developed to predict RBPs. Unfortunately, the existing computational methods usually suffer some limitations, such as high-dimensionality, data sparsity and low model performance.

Authors

  • Yawei Wang
    State Key Laboratory of Environmental Chemistry and Ecotoxicology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing 100085, China.
  • Yuning Yang
    School of Artificial Intelligence, Jilin University and School of Information Science and Technology, Northeast Normal University, China.
  • Zhiqiang Ma
    Key Laboratory of Intelligent Information Processing of Jilin Universities, Northeast Normal University, Changchun 130117, China. Electronic address: zhiqiang.ma967@gmail.com.
  • Ka-Chun Wong
  • Xiangtao Li

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