A classification method based on support vector machine (SVM) is proposed specifically for predicting plant pre-miRNAs. The ability of PlantMiRNAPred to discern real and pseudo pre-miRNAs provides a viable method for discovering new non-homologous plant pre-miRNAs.
Department of Computer Science and Engineering, Harbin Institute of Technology, Harbin, China
PlantMiRNAPred funding source(s)
Natural Science Foundation of China (60932008 and 60871092); Fundamental Research Funds for the Central Universities (HIT.ICRST.2010 022); Returned Scholar Foundation of Educational Department of Heilongjiang Province (1154hz26); Natural Science Foundation (Grant CCF-0546345 to Y.H.).