Applications of Machine Learning in miRNA Discovery and Target Prediction

Author(s): Alisha Parveen, Syed H. Mustafa, Pankaj Yadav, Abhishek Kumar*.

Journal Name: Current Genomics

Volume 20 , Issue 8 , 2019

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Abstract:

MicroRNA (miRNA) is a small non-coding molecule that is involved in gene regulation and RNA silencing by complementary on their targets. Experimental methods for target prediction can be time-consuming and expensive. Thus, the application of the computational approach is implicated to enlighten these complications with experimental studies. However, there is still a need for an optimized approach in miRNA biology. Therefore, machine learning (ML) would initiate a new era of research in miRNA biology towards potential diseases biomarker. In this article, we described the application of ML approaches in miRNA discovery and target prediction with functions and future prospective. The implementation of a new era of computational methodologies in this direction would initiate further advanced levels of discoveries in miRNA.

Keywords: microRNA, machine learning, target prediction, gene expression, feature generation, feature selection.

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Article Details

VOLUME: 20
ISSUE: 8
Year: 2019
Page: [537 - 544]
Pages: 8
DOI: 10.2174/1389202921666200106111813
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