Comparison of methods for the selection of genomic biomarkers

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 relati...

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Bibliographic Details
Published inInternational journal of data mining and bioinformatics Vol. 8; no. 1; p. 24
Main Authors Lin, Dan, Tilahun, Abel, Abrahantes, Jose Cortinas, Shkedy, Ziv, Molenberghs, Geert, Gohlmann, Hinrich W H, Talloen, Willem, Bijnens, Luc
Format Journal Article
LanguageEnglish
Published Switzerland 2013
Subjects
Algorithms
Biomarkers - metabolism
Depression - diagnosis
Depression - metabolism
Gene Expression Profiling
Genome, Human
Humans
Prognosis
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Summary: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.
ISSN:1748-5673
DOI:10.1504/IJDMB.2013.054691