Predicts potential microRNAs (miRNA)-disease associations. BNPMDA is a model based on known miRNA-disease associations, miRNA functional similarity, disease semantic similarity and Gaussian interaction profile kernel similarity. The algorithm was assessed through three types of cross validation and several case studies on important human diseases. It is not suitable for the prediction of diseases without any known associated miRNAs.
School of Information and Control Engineering, China University of Mining and Technology, Xuzhou, China; School of Mathematics, Liaoning University, Shenyang, China; Research Center for Computer Simulating and Information Processing of Bio-Macromolecules of Liaoning Province, Shenyang, China; Xinjiang Technical Institute of Physics and Chemistry, Chinese Academy of Science, Urümqi, China; School of life science, Liaoning University, Shenyang, China
BNPMDA funding source(s)
Supported by National Natural Science Foundation of China under Grant Nos. 61772531 and 11631014, the Doctor Startup Foundation from Liaoning province under Grant No. 20170520217 and Innovation Team Project from the Education Department of Liaoning Province under Grant No. LT2015011, National Natural Science Foundation of China under Grant No. 31570160，Grant Z17-5-078, Grant No. F15165400 and Grant No. F16205151.