Classification of high-dimensional microarray data with a two-step procedure via a Wilcoxon criterion and multilayer perceptron

Nikulin, Vladimir, Huang, Tian-Hsiang and McLachlan, Geoffrey J. (2011) Classification of high-dimensional microarray data with a two-step procedure via a Wilcoxon criterion and multilayer perceptron. International Journal of Computational Intelligence and Applications, 10 1: 1-14. doi:10.1142/S1469026811002969


Author Nikulin, Vladimir
Huang, Tian-Hsiang
McLachlan, Geoffrey J.
Title Classification of high-dimensional microarray data with a two-step procedure via a Wilcoxon criterion and multilayer perceptron
Journal name International Journal of Computational Intelligence and Applications   Check publisher's open access policy
ISSN 1469-0268
1757-5885
Publication date 2011-03-01
Sub-type Article (original research)
DOI 10.1142/S1469026811002969
Volume 10
Issue 1
Start page 1
End page 14
Total pages 14
Place of publication London, United Kingdom
Publisher Imperial College Press
Collection year 2012
Language eng
Abstract The method presented in this paper is novel as a natural combination of two mutually dependent steps. Feature selection is a key element (first step) in our classification system, which was employed during the 2010 International RSCTC data mining (bioinformatics) Challenge. The second step may be implemented using any suitable classifier such as linear regression, support vector machine or neural networks. We conducted leave-one-out (LOO) experiments with several feature selection techniques and classifiers. Based on the LOO evaluations, we decided to use feature selection with the separation type Wilcoxon-based criterion for all final submissions. The method presented in this paper was tested successfully during the RSCTC data mining Challenge, where we achieved the top score in the Basic track. © 2011 Imperial College Press.
Keyword Gene expression data
Cross-validation
Feature selection
Fisher Discriminant
Q-Index Code C1
Q-Index Status Confirmed Code
Institutional Status UQ

Document type: Journal Article
Sub-type: Article (original research)
Collections: School of Mathematics and Physics
Official 2012 Collection
Institute for Molecular Bioscience - Publications
 
Versions
Version Filter Type
Citation counts: Scopus Citation Count Cited 0 times in Scopus Article
Google Scholar Search Google Scholar
Created: Sat, 28 May 2011, 02:39:10 EST by Professor Geoff Mclachlan on behalf of Mathematics