Gene selection from microarray data for cancer classification--a machine learning approach.
A DNA microarray can track the expression levels of thousands of genes simultaneously. Previous research has demonstrated that this technology can be useful in the classification of cancers. Cancer microarray data normally contains a small number of samples which have a large number of gene expression levels as features. To select relevant genes involved in different types of cancer remains a challenge. In order to extract useful gene information from cancer microarray data and reduce dimensionality, feature selection algorithms were systematically investigated in this study. Using a correlation-based feature selector combined with machine learning algorithms such as decision trees, naïve Bayes and support vector machines, we show that classification performance at least as good as published results can be obtained on acute leukemia and diffuse large B-cell lymphoma microarray data sets. We also demonstrate that a combined use of different classification and feature selection approaches makes it possible to select relevant genes with high confidence. This is also the first paper which discusses both computational and biological evidence for the involvement of zyxin in leukaemogenesis.
Wang
Yu
Y
Institute for Bioinformatics, German Research Center for Environment and Health, Ingolstädter Landstrasse 1, D-85764 Neuherberg, Germany. yu.wang@gsf.de
Tetko
Igor V
IV
Hall
Mark A
MA
Frank
Eibe
E
Facius
Axel
A
Mayer
Klaus F X
KF
Mewes
Hans W
HW
D000465:Algorithms; D001185:Artificial Intelligence; D003598:Cytoskeletal Proteins; D020869:Gene Expression Profiling; D006023:Glycoproteins / Q000235:genetics; D006801:Humans; D015470:Leukemia, Myeloid, Acute / Q000145:classification* / Q000235:genetics; D020411:Oligonucleotide Array Sequence Analysis / Q000379:methods*; D054198:Precursor Cell Lymphoblastic Leukemia-Lymphoma / Q000145:classification* / Q000235:genetics; D060589:Zyxin
D003598:Cytoskeletal Proteins; D006023:Glycoproteins; C092842:ZYX protein, human; D060589:Zyxin