A learning-based framework for miRNA-disease association identification using neural networks.

Journal: Bioinformatics (Oxford, England)
Published Date: Nov 1, 2019

Abstract

MOTIVATION: A microRNA (miRNA) is a type of non-coding RNA, which plays important roles in many biological processes. Lots of studies have shown that miRNAs are implicated in human diseases, indicating that miRNAs might be potential biomarkers for various types of diseases. Therefore, it is important to reveal the relationships between miRNAs and diseases/phenotypes.

Authors

  • Jiajie Peng
    School of Computer Science and Technology, Harbin Institute of Technology, Harbin, China. jiajiepeng@hit.edu.cn.
  • Weiwei Hui
    School of Computer Science, Northwestern Polytechnical University, Xi'an, China.
  • Qianqian Li
    Northwestern Polytechnical University, 127 West Youyi Road, Xi'an, 710072, China.
  • Bolin Chen
  • Jianye Hao
    College of Intelligence and Computing, Tianjin University, Peiyang Park Campus: No.135 Yaguan Road, Haihe Education Park, Tianjin, 300350, China. haojianye@gmail.com.
  • Qinghua Jiang
    School of Life Science and Technology, Harbin Institute of Technology, Harbin, China.
  • Xuequn Shang
  • Zhongyu Wei
    School of Data Science, Fudan University, Shanghai, China.

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