TargetMiner is a software to find information about microRNA target mRNA. The classifier Support Vector Machine (SVM) is used to classify the test data. The SVM is trained with a set of biologically validated positive (miRNA- target pairs) and newly generated negative examples (miRNA- non target pairs). A set of 90 targeting site context specific features is then extracted from the training examples. From this a set of 30 most favorable features with high F-Score is then selected to train the classifier.
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Sanghamitra Bandyopadhyay and Ramkrishna Mitra,
“Targetminer:MicroRNA Target Prediction with Systematic Identification Of Tissue Specific Negative Examples“,
Bioinformatics, Vol. 25, no. 20, pp. 2625 – 2631, 2009.