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Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/8363

Title: Performance of gene selection and classification methods in a microarray setting: A simulation study
Authors: VAN SANDEN, Suzy
LIN, Dan
BURZYKOWSKI, Tomasz
Issue Date: 2008
Publisher: TAYLOR & FRANCIS INC
Citation: COMMUNICATIONS IN STATISTICS-SIMULATION AND COMPUTATION, 37(2). p. 409-424
Abstract: In a previous article, we investigated the performance of several classification methods for cDNA-microarrays. Via simulations, various experimental settings could be explored without having to conduct expensive microarray studies. For the selection of genes, on which classification was based, one particular method was applied. Gene selection is, however, a very important aspect of classification. We extend the previous study by considering several gene selection methods. Furthermore, the stability of the methods with respect to distributional assumptions is examined by also considering data simulated from a symmetric and asymmetric Laplace distribution, in addition to normally distributed microarray data.
Notes: Hasselt Univ, Ctr Stat, B-3590 Diepenbeek, Belgium.
URI: http://hdl.handle.net/1942/8363
ISI #: 000256386400014
ISSN: 0361-0918
Category: A1
Type: Journal Contribution
Validation: ecoom, 2009
Appears in Collections: Research publications

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