A Comparison of SVM-based Evolutionary Methods for Multicategory Cancer Diagnosis using Microarray Gene Expression Data

A Comparison of SVM-based Evolutionary Methods for Multicategory Cancer Diagnosis using Microarray Gene Expression Data

Selection of relevant genes that will give higher accuracy for sample classification (for example, to distinguish cancerous from normal tissues) is a common task in most microarray data studies. An evolutionary method based on generalization error bound theory of support vector machine (SVM) can sel...

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Bibliographic Details
Main Authors: Rameswar Debnath, Haruhisa Takahashi, Takio Kurita
Format: Article
Language:English
Published: International Institute of Informatics and Cybernetics 2011-12-01
Series:Journal of Systemics, Cybernetics and Informatics
Subjects:
Evolutionary Algorithm
Generalization Error Bound
Support Vector Machine
Multiclass Classifier
Microarray Data
Online Access:http://www.iiisci.org/Journal/CV$/sci/pdfs/RO700AD.pdf

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http://www.iiisci.org/Journal/CV$/sci/pdfs/RO700AD.pdf

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