Triplet-SVM is developed for predicting a query sequence with hairpin structure as a real miRNA precursor or not. The triplet-SVM classifier analyzes the triplet elements of the query and predicts it using a SVM classifier. The SVM classifier is previously trained based on the triplet element features of a set of real miRNA precursors and a set of pseudo-miRNA hairpins.
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Chenghai Xue, Fei Li, Tao He, Guoping Liu, Yanda Li, Xuegong Zhang,
Classification of real and pseudo microRNA precursors using local structure-sequence features and support vector machine,
BMC Bioinformatics, 6: 310, 2005