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Compact cancer biomarkers discovery using a swarm intelligence feature selection algorithm

Paper ID Volume ID Publish Year Pages File Format Full-Text
15312 1402 2010 7 PDF Available
Title
Compact cancer biomarkers discovery using a swarm intelligence feature selection algorithm
Abstract

Biomarker discovery is a typical application from functional genomics. Due to the large number of genes studied simultaneously in microarray data, feature selection is a key step. Swarm intelligence has emerged as a solution for the feature selection problem. However, swarm intelligence settings for feature selection fail to select small features subsets. We have proposed a swarm intelligence feature selection algorithm based on the initialization and update of only a subset of particles in the swarm. In this study, we tested our algorithm in 11 microarray datasets for brain, leukemia, lung, prostate, and others. We show that the proposed swarm intelligence algorithm successfully increase the classification accuracy and decrease the number of selected features compared to other swarm intelligence methods.

Keywords
Feature selection; PSO; Biomarkers; Microarray
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Compact cancer biomarkers discovery using a swarm intelligence feature selection algorithm
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Publisher
Database: Elsevier - ScienceDirect
Journal: Computational Biology and Chemistry - Volume 34, Issue 4, August 2010, Pages 244–250
Authors
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Subjects
Physical Sciences and Engineering Chemical Engineering Bioengineering
Get Full-Text Now
Don't Miss Today's Special Offer
Price was $35.95
You save - $31
Price after discount Only $4.95
100% Money Back Guarantee
Full-text PDF Download
Online Support
Any Questions? feel free to contact us