Computational biology and chemistry Special section editorial: Computational analyses for miRNA-Reference-Cited by-同舟云学术

Computational biology and chemistry Special section editorial: Computational analyses for miRNA

Published:2021-04 Issue: Volume:91 Page:107448
ISSN:1476-9271
Container-title:Computational Biology and Chemistry
language:en
Short-container-title:Computational Biology and Chemistry

Author:

Cui Feifei,Zhou Murong,Zou Quan

Publisher

Elsevier BV

Subject

Computational Mathematics,Organic Chemistry,Biochemistry,Structural Biology

Reference50 articles.

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

2. miRTar2GO: a novel rule-based model learning method for cell line specific microRNA target prediction that integrates Ago2 CLIP-Seq and validated microRNA–target interaction data;Ahadi;Nucleic Acids Res.,2017

3. From benchmarking HITS-CLIP peak detection programs to a new method for identification of miRNA-binding sites from Ago2-CLIP data;Bottini;Nucleic Acids Res.,2017

4. Recent computational developments on CLIP-seq data analysis and microRNA targeting implications;Bottini;Brief. Bioinformatics,2018

5. ncRDeep: non-coding RNA classification with convolutional neural network;Chantsalnyam;Comput. Biol. Chem.,2020

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2. HLGNN-MDA: Heuristic Learning Based on Graph Neural Networks for miRNA–Disease Association Prediction;International Journal of Molecular Sciences;2022-10-29

3. ncRNAInter: a novel strategy based on graph neural network to discover interactions between lncRNA and miRNA;Briefings in Bioinformatics;2022-10-04