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Please use this identifier to cite or link to this item: http://hdl.handle.net/1959.13/25280

Title: Genes related with Alzheimer's disease: a comparison of evolutionary search, statistical and integer programming approaches
Author/Creator: Moscato, Pablo Alberto; Berretta, Regina Esther; Hourani, Mou'ath; Mendes, Alexandre; Cotta, Carlos
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.
Relation: Applications on Evolutionary Computing: EvoWorkkshops 2005: EvoBIO, EvoCOMNET, EvoHOT, EvoIASP, EvoMUSART, and EvoSTOC. (Lausanne, Switzerland 30 March - 1 April, 2005)
Date: 2005
Publisher: Springer Verlag
Keyword(s): search engines; genes; diseases; patient treatment; integer programming; differential equations; evolutionary algorithms
Resource Type: conference paper
Identifier: http://hdl.handle.net/1959.13/25280
Identifier: ISBN:3-540-25396-3
Language: eng

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