NMCMDA: neural multicategory MiRNA-disease association prediction.

Journal: Briefings in bioinformatics
Published Date:

Abstract

MOTIVATION: There is growing evidence showing that the dysregulations of miRNAs cause diseases through various kinds of the underlying mechanism. Thus, predicting the multiple-category associations between microRNAs (miRNAs) and diseases plays an important role in investigating the roles of miRNAs in diseases. Moreover, in contrast with traditional biological experiments which are time-consuming and expensive, computational approaches for the prediction of multicategory miRNA-disease associations are time-saving and cost-effective that are highly desired for us.

Authors

  • Jingru Wang
    School of Computer Science, Northwestern Polytechnical University, West Youyi Road 127, Xi'an, 710072, China.
  • Jin Li
    Mental Health Center, West China Hospital, Sichuan University, Chengdu, China.
  • Kun Yue
    School of Information, Yunnan University, China.
  • Li Wang
    College of Marine Electrical Engineering, Dalian Maritime University, Dalian, China.
  • Yuyun Ma
    Yunnan University, China.
  • Qing Li
    Department of Internal Medicine, University of Michigan Ann Arbor, MI 48109, USA.