PMAMCA: prediction of microRNA-disease association utilizing a matrix completion approach.

Journal: BMC systems biology
Published Date:

Abstract

BACKGROUND: Numerous experimental results have indicated that microRNAs (miRNAs) play a vital role in biological processes, as well as outbreaks of diseases at the molecular level. Despite their important role in biological processes, knowledge regarding specific functions of miRNAs in the development of human diseases is very limited. While attempting to solve this problem, many computational approaches have been proposed and attracted significant attention. However, most previous approaches suffer from the common problem of being inapplicable to new diseases without any known miRNA-disease associations.

Authors

  • Jihwan Ha
    Department of Computer Science, Yonsei University, 134 Sinchon-dong, Seodaemun-gu, Seoul, South Korea.
  • Chihyun Park
    Dept. of Computer Science, Yonsei University, Seodaemun-gu, Seoul, Korea.
  • Sanghyun Park
    Department of Medical Statistics, College of Medicine, Catholic University of Korea, Seoul, Korea.