Applications of Machine Learning in miRNA Discovery and Target Prediction.

Applications of Machine Learning in miRNA Discovery and Target Prediction. Curr Genomics. 2019 Dec;20(8):537-544 Authors: Parveen A, Mustafa SH, Yadav P, Kumar A 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. PMID: 32581642 [PubMed]
Source: Current Genomics - Category: Genetics & Stem Cells Tags: Curr Genomics Source Type: research