title: Comparison of methods for the selection of genomic biomarkers.
abstract: In recent years, a lot of attention is placed on the selection and evaluation of biomarkers in microarray experiments. Two sets of biomarkers are of importance, namely therapeutic and prognostic. The therapeutic biomarkers would give us information on the response of the genes to treatment in relation to the response of the clinical outcome to the same treatments, whereas the prognostic biomarkers enable us to predict the clinical outcome irrespective of treatments and other confounding factors. In this paper, we use different methods that allow for both linear and non-linear associations to select prognostic markers for depression, the response.
authors.affiliation: I-Biostat, Universiteit Hasselt, 3590, Diepenbeek, Belgium. dan.lin@uhasselt.be
authors.forename: Dan
authors.initials: D
authors.lastname: Lin
authors.forename: Abel
authors.initials: A
authors.lastname: Tilahun
authors.forename: Jose Cortinas
authors.initials: JC
authors.lastname: Abrahantes
authors.forename: Ziv
authors.initials: Z
authors.lastname: Shkedy
authors.forename: Geert
authors.initials: G
authors.lastname: Molenberghs
authors.forename: Hinrich W H
authors.initials: HW
authors.lastname: Gohlmann
authors.forename: Willem
authors.initials: W
authors.lastname: Talloen
authors.forename: Luc
authors.initials: L
authors.lastname: Bijnens
mesh_terms: D000465:Algorithms; D015415:Biomarkers / Q000378:metabolism*; D003863:Depression / Q000175:diagnosis / Q000378:metabolism; D020869:Gene Expression Profiling; D015894:Genome, Human; D006801:Humans; D011379:Prognosis
chemical_list: D015415:Biomarkers