Predicting potential miRNA-disease associations by combining gradient boosting decision tree with logistic regression-Reference-Cited by-同舟云学术

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Predicting potential miRNA-disease associations by combining gradient boosting decision tree with logistic regression

Published:2020-04 Issue: Volume:85 Page:107200
ISSN:1476-9271
Container-title:Computational Biology and Chemistry
language:en
Short-container-title:Computational Biology and Chemistry

Author:

Zhou Su,Wang Shulin,Wu Qi,Azim Riasat,Li Wen

Funder

National Natural Science Foundation of China

National Key R&D Program of China

Publisher

Elsevier BV

Subject

Computational Mathematics,Organic Chemistry,Biochemistry,Structural Biology

Reference59 articles.

1. microRNAs: tiny regulators with great potential;Ambros;Cell,2001

2. Genome-wide RNAi analysis of Caenorhabditis elegans fat regulatory genes;Ashrafi;Nature,2003

3. miReg: a resource for microRNA regulation;Barh;J. Integr. Bioinform.,2010

4. A novel in silico reverse-transcriptomics-based identification and blood-based validation of a panel of sub-type specific biomarkers in lung cancer;Barh;BMC Genomics,2013

5. miRegulome: a knowledge-base of miRNA regulomics and analysis;Barh;Sci. Rep.,2015

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