article

An expert system to classify microarray gene expression data using gene selection by decision tree

Authors:

Jorng-Tzong Horng,

Jin-Jian ZhangAuthors Info & Claims

Expert Systems with Applications: An International Journal, Volume 36, Issue 5

Pages 9072 - 9081

Published: 01 July 2009 Publication History

Abstract

Gene selection can help the analysis of microarray gene expression data. However, it is very difficult to obtain a satisfactory classification result by machine learning techniques because of both the curse-of-dimensionality problem and the over-fitting problem. That is, the dimensions of the features are too large but the samples are too few. In this study, we designed an approach that attempts to avoid these two problems and then used it to select a small set of significant biomarker genes for diagnosis. Finally, we attempted to use these markers for the classification of cancer. This approach was tested the approach on a number of microarray datasets in order to demonstrate that it performs well and is both useful and reliable.

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Cited By

Rao MChaparala A(2022)A Novel Feature-Based SHM Assessment and Predication Approach for Robust Evaluation of Damage Data Diagnosis SystemsWireless Personal Communications: An International Journal10.1007/s11277-022-09518-z124:4(3387-3411)Online publication date: 1-Jun-2022
https://dl.acm.org/doi/10.1007/s11277-022-09518-z
Alsalem MZaidan AZaidan BAlbahri OAlamoodi AAlbahri AMohsin AMohammed K(2019)Multiclass Benchmarking Framework for Automated Acute Leukaemia Detection and Classification Based on BWM and Group-VIKORJournal of Medical Systems10.1007/s10916-019-1338-x43:7(1-32)Online publication date: 1-Jul-2019
https://dl.acm.org/doi/10.1007/s10916-019-1338-x
Aydogan EOzmen MDelice Y(2019)CBR-PSO: cost-based rough particle swarm optimization approach for high-dimensional imbalanced problemsNeural Computing and Applications10.1007/s00521-018-3469-231:10(6345-6363)Online publication date: 1-Oct-2019
https://dl.acm.org/doi/10.1007/s00521-018-3469-2
Show More Cited By

An expert system to classify microarray gene expression data using gene selection by decision tree
1. Applied computing
  1. Life and medical sciences
2. Computing methodologies
  1. Machine learning
    1. Learning paradigms
      1. Supervised learning
    2. Machine learning approaches

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Published In

cover image Expert Systems with Applications: An International Journal

Expert Systems with Applications: An International Journal Volume 36, Issue 5

July, 2009

894 pages

ISSN:0957-4174

Issue’s Table of Contents

Copyright © Elsevier Ltd © 2008.

Publisher

Pergamon Press, Inc.

United States

Publication History

Published: 01 July 2009

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Cited By

Rao MChaparala A(2022)A Novel Feature-Based SHM Assessment and Predication Approach for Robust Evaluation of Damage Data Diagnosis SystemsWireless Personal Communications: An International Journal10.1007/s11277-022-09518-z124:4(3387-3411)Online publication date: 1-Jun-2022
https://dl.acm.org/doi/10.1007/s11277-022-09518-z
Alsalem MZaidan AZaidan BAlbahri OAlamoodi AAlbahri AMohsin AMohammed K(2019)Multiclass Benchmarking Framework for Automated Acute Leukaemia Detection and Classification Based on BWM and Group-VIKORJournal of Medical Systems10.1007/s10916-019-1338-x43:7(1-32)Online publication date: 1-Jul-2019
https://dl.acm.org/doi/10.1007/s10916-019-1338-x
Aydogan EOzmen MDelice Y(2019)CBR-PSO: cost-based rough particle swarm optimization approach for high-dimensional imbalanced problemsNeural Computing and Applications10.1007/s00521-018-3469-231:10(6345-6363)Online publication date: 1-Oct-2019
https://dl.acm.org/doi/10.1007/s00521-018-3469-2
Alsalem MZaidan AZaidan BHashim MAlbahri OAlbahri AHadi AMohammed K(2018)Systematic Review of an Automated Multiclass Detection and Classification System for Acute Leukaemia in Terms of Evaluation and Benchmarking, Open Challenges, Issues and Methodological AspectsJournal of Medical Systems10.1007/s10916-018-1064-942:11(1-36)Online publication date: 1-Nov-2018
https://dl.acm.org/doi/10.1007/s10916-018-1064-9
Kar SDas Sharma KMaitra M(2015)Gene selection from microarray gene expression data for classification of cancer subgroups employing PSO and adaptive K-nearest neighborhood techniqueExpert Systems with Applications: An International Journal10.1016/j.eswa.2014.08.01442:1(612-627)Online publication date: 1-Jan-2015
https://dl.acm.org/doi/10.1016/j.eswa.2014.08.014
Hassanien AAl-Shammari EGhali N(2013)Computational intelligence techniques in bioinformaticsComputational Biology and Chemistry10.5555/2772765.277284347:C(37-47)Online publication date: 1-Dec-2013
https://dl.acm.org/doi/10.5555/2772765.2772843
Fan LPoh KZhou P(2010)Partition-conditional ICA for Bayesian classification of microarray dataExpert Systems with Applications: An International Journal10.1016/j.eswa.2010.05.06837:12(8188-8192)Online publication date: 1-Dec-2010
https://dl.acm.org/doi/10.1016/j.eswa.2010.05.068

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