SUPPORT VECTOR MACHINE FOR CLASSIFICATION OF HIV, PLANT AND ANIMAL miRNA’S

MicroRNAs (miRNA’s) constitute a large family of non coding RNAs that function to regulate gene expression.Wet lab experiments usually used to classify the miRNA of plants and animals are highly expensive, labor intensive and timeconsuming. Thus there arises a need for computational approach for classification of plant and animal miRNA. Thesecomputational approaches are fast and economical as compared to wet lab techniques. Here a machine learning approachis used to classify miRNA of HIV, plants and animals. The new SVM learning algorithm called Weka LibSVM has been usedfor classification of plant and animal and HIVmiRNA. The model has been tested on available data and it gives results with95% accuracy