title: Routes to identify marker genes for microarray classification.
abstract: Support vector machines are applied to extract marker genes from various microarray data sets: Breast Cancer, Leukemia and Monocyte - Macrophage Differentiation to ease classification of related pathologies or characterize related gene regulation pathways.
authors.affiliation: Institute for Biophysics, Computational Intelligence Group, University of Regensburg, D-93040 Regensburg, Germany.
authors.forename: R
authors.initials: R
authors.lastname: Schachtner
authors.forename: D
authors.initials: D
authors.lastname: Lutter
authors.forename: K
authors.initials: K
authors.lastname: Stadlthanner
authors.forename: E W
authors.initials: EW
authors.lastname: Lang
authors.forename: G
authors.initials: G
authors.lastname: Schmitz
authors.forename: A M
authors.initials: AM
authors.lastname: Tomé
authors.forename: P Gómez
authors.initials: PG
authors.lastname: Vilda
mesh_terms: D000818:Animals; D003198:Computer Simulation; D030541:Databases, Genetic; D020869:Gene Expression Profiling / Q000379:methods*; D005786:Gene Expression Regulation; D006801:Humans; D020411:Oligonucleotide Array Sequence Analysis / Q000379:methods*; D012680:Sensitivity and Specificity; D012984:Software