Micro GS finder: Finding miRNA target for gene silencing, using a support vector machine
Sasti Gopal Das, Hirak Jyoti Chakraborty and Abhijit Datta
MicroRNAs (miRNAs) are short (22-24) nucleotides long RNA interference molecules, that regulate the functional messenger RNAs (mRNAs) genes. Many computational methods was developed to predict miRNA target, but pinpoint specific target gene identification is a demanding task, due to the lack of true negative and true positive datasets. In this study, we analyzed miRNA: mRNA interaction feature for classifying confident miRNAs target genes, based on a support vector machine classifier. Comparative analysis raveled that the prediction accuracy of Micro GS Finder is highly significant with a sensitivity, specificity and accuracy score of 88.23%, 78.73% and 83.48% receptively. In the field of computational genomics, Micro GS Finder can help to the genomic researcher by effective and accurate identification true miRNA target genes. Availability: Micro GS Finder is now available as an online tool at”https://drive.google.com/file/d/0B2z-LN17vPg6Y3IyanR1Yko5YzA/view?usp=sharing”.
How to cite this article:
Sasti Gopal Das, Hirak Jyoti Chakraborty, Abhijit Datta. Micro GS finder: Finding miRNA target for gene silencing, using a support vector machine. Pharma Innovation 2018;7(2):117-142.