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Proposal of new gene filtering method, BagPART, for gene expression analysis with small sample

Paper ID Volume ID Publish Year Pages File Format Full-Text
22455 43284 2008 4 PDF Available
Title
Proposal of new gene filtering method, BagPART, for gene expression analysis with small sample
Abstract

A significant problem in gene expression analysis is that the sample size is substantially lower than the number of genes. Bagging is an effective method of solving this problem in the case of small sample datasets. We have devised a combination method, called the BagPART filtering method, that uses the projective adaptive resonance theory (PART) to select important genes and achieve a binary classification more accurately (p<10−10) than conventional methods, particularly when the sample size is small.

Keywords
gene expression analysis; bootstrap aggregating; projective adaptive resonance theory; gene filtering method; boosted fuzzy classifier with SWEEP
First Page Preview
Proposal of new gene filtering method, BagPART, for gene expression analysis with small sample
Publisher
Database: Elsevier - ScienceDirect
Journal: Journal of Bioscience and Bioengineering - Volume 105, Issue 1, January 2008, Pages 81–84
Authors
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Subjects
Physical Sciences and Engineering Chemical Engineering Bioengineering