Improving Bioinformatics Prediction of microRNA Targets by Ranks Aggregation-Reference-Cited by-同舟云学术

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Improving Bioinformatics Prediction of microRNA Targets by Ranks Aggregation

Published:2020-01-28 Issue: Volume:10 Page:
ISSN:1664-8021
Container-title:Frontiers in Genetics
language:
Short-container-title:Front. Genet.

Author:

Quillet Aurélien,Saad Chadi,Ferry Gaëtan,Anouar Youssef,Vergne Nicolas,Lecroq Thierry,Dubessy Christophe

Funder

Conseil Régional de Haute Normandie

Institut National de la Santé et de la Recherche Médicale

Université de Rouen

Publisher

Frontiers Media SA

Subject

Genetics(clinical),Genetics,Molecular Medicine

Reference62 articles.

1. Predicting effective microRNA target sites in mammalian mRNAs;Agarwal;Elife,2015

2. miRGate: a curated database of human, mouse and rat miRNA-mRNA targets;Andres-Leon;Database (Oxford),2015

3. MBSTAR: multiple instance learning for predicting specific functional binding sites in microRNA targets;Bandyopadhyay;Sci. Rep.,2015

4. Metazoan MicroRNAs;Bartel;Cell,2018

5. Comprehensive modeling of microRNA targets predicts functional non-conserved and non-canonical sites;Betel;Genome Biol.,2010

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