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Prediction of the miRNA interactome - Established methods and upcoming perspectives.

Abstract：

:MicroRNAs (miRNAs) are well-studied small noncoding RNAs involved in post-transcriptional gene regulation in a wide range of organisms, including mammals. Their function is mediated by base pairing with their target RNAs. Although many features required for miRNA-mediated repression have been described, the identification of functional interactions is still challenging. In the last two decades, numerous Machine Learning (ML) models have been developed to predict their putative targets. In this review, we summarize the biological knowledge and the experimental data used to develop these ML models. Recently, Deep Neural Network-based models have also emerged in miRNA interaction modeling. We thus outline established and emerging models to give a perspective on the future developments needed to improve the identification of genes directly regulated by miRNAs.

journal_name

Comput Struct Biotechnol J

journal_title

Computational and structural biotechnology journal

authors

Schäfer M,Ciaudo C

doi

10.1016/j.csbj.2020.02.019

subject

Has Abstract

pub_date

2020-03-05 00:00:00

pages

548-557

issn

2001-0370

pii

S2001-0370(19)30430-1

journal_volume

18

pub_type

杂志文章,评审

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