Predicts potential microRNA (miRNA) candidates for the diseases with known related miRNAs. MIDP can assist users in relieving the negative effect of noisy data. To perform, it exploits the characteristics of the nodes and the various ranges of topologies. Moreover, this tool also contains features to determine candidates specially for the diseases without any known related miRNAs.
School of Computer Science and Technology, Heilongjiang University, Harbin, China; School of Computer and Information Engineering, Harbin University of Commerce, Harbin, China; School of Information Science and Technology, Heilongjiang University, Harbin, China; College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, China
MIDP funding source(s)
Supported by the Natural Science Foundation of China (61302139, 61402138), China Postdoctoral Science Foundation (2014M550200, 2014M561350), the Science and Technology Innovation Team Construction Project of Heilongjiang Province College (2013TD012), the Natural Science Foundation of Heilongjiang Province (F201324, E201452), the Postdoctoral Foundation of Heilongjiang Province (LBHZ14152), the Young Innovative Talent Research Foundation of Harbin Science and Technology Bureau (2012RFQXS094), the Support Program for Young Academic Key Teacher of Higher Education of Heilongjiang Province (1254G030), and the Distinguished Youth Foundation of Heilongjiang University (JCL201405).