title: A survey on filter techniques for feature selection in gene expression microarray analysis.
abstract: A plenitude of feature selection (FS) methods is available in the literature, most of them rising as a need to analyze data of very high dimension, usually hundreds or thousands of variables. Such data sets are now available in various application areas like combinatorial chemistry, text mining, multivariate imaging, or bioinformatics. As a general accepted rule, these methods are grouped in filters, wrappers, and embedded methods. More recently, a new group of methods has been added in the general framework of FS: ensemble techniques. The focus in this survey is on filter feature selection methods for informative feature discovery in gene expression microarray (GEM) analysis, which is also known as differentially expressed genes (DEGs) discovery, gene prioritization, or biomarker discovery. We present them in a unified framework, using standardized notations in order to reveal their technical details and to highlight their common characteristics as well as their particularities.
authors.affiliation: Computational Modeling Group, Department of Computer Science, Vrije Universiteit Brussel, Pleinlaan 2, Brussels 1050, Belgium. vlazar@vub.ac.be
authors.forename: Cosmin
authors.initials: C
authors.lastname: Lazar
authors.forename: Jonatan
authors.initials: J
authors.lastname: Taminau
authors.forename: Stijn
authors.initials: S
authors.lastname: Meganck
authors.forename: David
authors.initials: D
authors.lastname: Steenhoff
authors.forename: Alain
authors.initials: A
authors.lastname: Coletta
authors.forename: Colin
authors.initials: C
authors.lastname: Molter
authors.forename: Virginie
authors.initials: V
authors.lastname: de Schaetzen
authors.forename: Robin
authors.initials: R
authors.lastname: Duque
authors.forename: Hugues
authors.initials: H
authors.lastname: Bersini
authors.forename: Ann
authors.initials: A
authors.lastname: Nowé
mesh_terms: D000704:Analysis of Variance; D001499:Bayes Theorem; D019295:Computational Biology / Q000379:methods*; D020869:Gene Expression Profiling; D005819:Genetic Markers; D007257:Information Theory; D015233:Models, Statistical; D020411:Oligonucleotide Array Sequence Analysis; D012372:ROC Curve; D018709:Statistics, Nonparametric
chemical_list: D005819:Genetic Markers