Abstract: microRNA (miRNA) is an endogenous non-coding RNA which is discovered in animals and plants. The length of miRNA is about 19-24nt. miRNA plays an important role and extensive functions in animals and plants. miRNA has two ways, cDNA clones predict and calculating found are the two ways for the miRNA discovery. cDNA clone predict method has some shortcomings, because the method can be influenced by the miRNA expression time, tissue-specific and expression levels. But the calculating found method can make up these shortcomings. So the miRNA calculating method has much attention. Support vector machine (SVM) as a kind of good machine learning method, is applied on the prediction of miRNAs for its good learning ability. The results of application of SVM on the identification of Caenorhabditis elegans miRNAs show SVM has good accuracy and sensitivity.

Key words: microRNA, SVM, machine learning, bioinformatics