A robust and stable gene selection algorithm based on graph theory and machine learning

Abstract Background Nowadays we are observing an explosion of gene expression data with phenotypes. It enables us to accurately identify genes responsible for certain medical condition as well as classify them for drug target. Like any other phenotype data in medical domain, gene expression data wit...

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Bibliographic Details
Main Authors: Subrata Saha, Ahmed Soliman, Sanguthevar Rajasekaran
Format: Article
Language:English
Published: BMC 2021-11-01
Series:Human Genomics
Subjects:
Online Access:https://doi.org/10.1186/s40246-021-00366-9