Identification of miRNA Biomarkers for Diverse Cancer Types Using Statistical Learning Methods at the Whole-Genome Scale

Identification of miRNA Biomarkers for Diverse Cancer Types Using Statistical Learning Methods at the Whole-Genome Scale

Genome-wide analysis of miRNA molecules can reveal important information for understanding the biology of cancer. Typically, miRNAs are used as features in statistical learning methods in order to train learning models to predict cancer. This motivates us to propose a method that integrates clusteri...

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Bibliographic Details
Main Authors: Jnanendra Prasad Sarkar, Indrajit Saha, Adrian Lancucki, Nimisha Ghosh, Michal Wlasnowolski, Grzegorz Bokota, Ashmita Dey, Piotr Lipinski, Dariusz Plewczynski
Format: Article
Language:English
Published: Frontiers Media S.A. 2020-11-01
Series:Frontiers in Genetics
Subjects:
cancer
cox regression
feature selection
gene ontology
KEGG pathway
machine learning
Online Access:https://www.frontiersin.org/articles/10.3389/fgene.2020.00982/full

Internet

https://www.frontiersin.org/articles/10.3389/fgene.2020.00982/full

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