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Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/15408

Title: Comparison of methods for the selection of genomic biomarkers
Authors: Lin, Dan
Tilahun, Abel
Abrahantes, Jose Cortinas
Shkedy, Ziv
Molenberghs, Geert
Gohlmann, Hinrich W. H.
Talloen, Willem
Bijnens, Luc
Issue Date: 2013
Publisher: INDERSCIENCE ENTERPRISES LTD
Citation: INTERNATIONAL JOURNAL OF DATA MINING AND BIOINFORMATICS, 8 (1), p. 24-41
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.
Notes: Univ Hasselt, I Biostat, B-3590 Diepenbeek, Belgium. Harvard Univ, Dept Biostat, Sch Publ Hlth, Boston, MA 02138 USA. European Food Safety Author, Sci Assessment Support Unit, I-43100 Parma, Italy. Katholieke Univ Leuven, B-3000 Louvain, Belgium. Janssen Pharmaceut Co Johnson & Johnson, B-2340 Beerse, Belgium.
URI: http://hdl.handle.net/1942/15408
DOI: 10.1504/IJDMB.2013.054691
ISI #: 000320772900002
ISSN: 1748-5673
Category: A1
Type: Journal Contribution
Validation: ecoom, 2014
Appears in Collections: Research publications

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