Allows users to predict potential miRNA-disease associations. NCPMDA intends to discover the potential associations by calculating the score of each miRNA-disease pair using the miRNA functional similarity network, the disease semantic similarity network, the known miRNA-disease associations, and the miRNA family information. It does not require negative samples and can also confirm the presence of miRNAs in isolated diseases.
College of Information Science and Engineering, Hunan University, Changsha, Hunan, China; Department of Computer Science, State University of New York, New Paltz, NY, USA
NCPMDA funding source(s)
Supported by the Program for New Century Excellent Talents in university (Grant No. NCET-10- 0365); National Nature Science Foundation of China (Grant Nos 60973082, 11171369, 61272395, and 61370171); National Nature Science Foundation of Hunan Province (Grant No. 12JJ2041); the Planned Science and Technology project of Hunan Province (Grant Nos 2009FJ3195 and 2012FJ1012); the Fundamental Research Funds for the Central universities, Hunan university.