A classification model for lncRNA and mRNA based on k-mers and a convolutional neural network.

Journal: BMC bioinformatics
Published Date: Sep 13, 2019

Abstract

BACKGROUND: Long-chain non-coding RNA (lncRNA) is closely related to many biological activities. Since its sequence structure is similar to that of messenger RNA (mRNA), it is difficult to distinguish between the two based only on sequence biometrics. Therefore, it is particularly important to construct a model that can effectively identify lncRNA and mRNA.

Authors

  • Jianghui Wen
    Ping An Health Technology, Beijing, China.
  • Yeshu Liu
    School of Science, Wuhan University of Technology, Wuhan, 430070, People's Republic of China.
  • Yu Shi
    NIH BD2K Program Centers of Excellence for Big Data Computing-KnowEng Center, Department of Computer Science, University of Illinois at Urbana-Champaign , Champaign, Illinois.
  • Haoran Huang
    School of Science, Wuhan University of Technology, Wuhan, 430070, People's Republic of China.
  • Bing Deng
    Beijing Key Laboratory of Flavor Chemistry, Beijing Technology and Business University Beijing 100048 China chenht@th.btbu.edu.cn yangshaoxiang@th.btbu.edu.cn.
  • Xinping Xiao
    School of Science, Wuhan University of Technology, Wuhan, 430070, People's Republic of China. xiaoxp@whut.edu.cn.

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