Genes related with Alzheimer's disease: A comparison of evolutionary search, statistical and integer programming approaches

Title: Genes related with Alzheimer's disease: A comparison of evolutionary search, statistical and integer programming approaches
Creator: Moscato, Pablo; Berretta, Regina; Hourani, Mou'Ath; Mendes, Alexandre; Cotta, Carlos
Relation: 3rd European Workshop on Evolutionary Bioinformatics. Applications on Evolutionary Computing:EvoWorkkshops 2005: EvoBIO, EvoCOMNET, EvoHOT, EvoIASP, EvoMUSART, and EvoSTOC (Lausanne, Switzerland 30th March - 1st April, 2005) p. 84-94
Relation: http://evonet.lri.fr/eurogp2005/?page=evobio
Publisher: Springer Verlag
Resource Type: conference paper
Date: 2005
Description: Three different methodologies have been applied to microarray data from brains of Alzheimer diagnosed patients and healthy patients taken as control. A clear pattern of differential gene expression results which can be regarded as a molecular signature of the disease. The results show the complementarity of the different methodologies, suggesting that a unified approach may help to uncover complex genetic risk factors not currently discovered with a single method. We also compare the set of genes in these differential patterns with those already reported in the literature.
Subject: microarray data; Alzheimers; genetic risk factors
Identifier: uon:2992
Identifier: http://hdl.handle.net/1959.13/32320
Identifier: ISBN:9783540253372
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