title: LRSSL: predict and interpret drug-disease associations based on data integration using sparse subspace learning.
abstract: : Exploring the potential curative effects of drugs is crucial for effective drug development. Previous studies have indicated that integration of multiple types of information could be conducive to discovering novel indications of drugs. However, how to efficiently identify the mechanism behind drug-disease associations while integrating data from different sources remains a challenging problem.
  
  
  
  : In this research, we present a novel method for indication prediction of both new drugs and approved drugs. This method is based on Laplacian regularized sparse subspace learning (LRSSL), which integrates drug chemical information, drug target domain information and target annotation information. Experimental results show that the proposed method outperforms several recent approaches for predicting drug-disease associations. Some drug therapeutic effects predicted by the method could be validated by database records or literatures. Moreover, with L1-norm constraint, important drug features have been extracted from multiple drug feature profiles. Case studies suggest that the extracted drug features could be beneficial to interpretation of the predicted results.
  
  
  
  https://github.com/LiangXujun/LRSSL.
  
  
  
  proteomics@csu.edu.cn.
  
  
  
  Supplementary data are available at Bioinformatics online.
authors.forename: Xujun
authors.initials: X
authors.lastname: Liang
authors.forename: Pengfei
authors.initials: P
authors.lastname: Zhang
authors.forename: Lu
authors.initials: L
authors.lastname: Yan
authors.forename: Ying
authors.initials: Y
authors.lastname: Fu
authors.forename: Fang
authors.initials: F
authors.lastname: Peng
authors.forename: Lingzhi
authors.initials: L
authors.lastname: Qu
authors.forename: Meiying
authors.initials: M
authors.lastname: Shao
authors.forename: Yongheng
authors.initials: Y
authors.lastname: Chen
authors.forename: Zhuchu
authors.initials: Z
authors.lastname: Chen
mesh_terms: D000465:Algorithms; D003093:Colitis, Ulcerative / Q000188:drug therapy; D004194:Disease; D058492:Drug Repositioning; D006801:Humans; D004364:Pharmaceutical Preparations / Q000378:metabolism*; D013223:Statistics as Topic
chemical_list: D004364:Pharmaceutical Preparations