Unsupervised gene selection using biological knowledge : application in sample clustering

Unsupervised gene selection using biological knowledge : application in sample clustering

Abstract Background Classification of biological samples of gene expression data is a basic building block in solving several problems in the field of bioinformatics like cancer and other disease diagnosis and making a proper treatment plan. One big challenge in sample classification is handling lar...

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Bibliographic Details
Main Authors: Sudipta Acharya, Sriparna Saha, N. Nikhil
Format: Article
Language:English
Published: BMC 2017-11-01
Series:BMC Bioinformatics
Subjects:
Feature selection
Gene Ontology (GO)
Sample classification
Gene-GO term annotation matrix
Multi-objective clustering
Online Access:http://link.springer.com/article/10.1186/s12859-017-1933-0

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http://link.springer.com/article/10.1186/s12859-017-1933-0

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