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NAAS Rating: 5.03, Impact Factor: RJIF 5.98 | Free Publication Certificate
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Vol. 7, Issue 2 (2018)

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””.
Pages: 117-142  |  582 Views  8 Downloads
How to cite this article:
Sasti Gopal Das, Hirak Jyoti Chakraborty and Abhijit Datta. . The Pharma Innovation Journal. 2018; 7(2): 117-142.
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