Please use this identifier to cite or link to this item: http://hdl.handle.net/1959.13/32320

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Title
Genes related with Alzheimer's disease: A comparison of evolutionary search, statistical and integer programming approaches
Author/Creator
Moscato, Pablo;  Berretta, Regina;  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
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
Date
2005
Publisher
Springer Verlag
Keyword(s)
microarray data;  Alzheimers;  genetic risk factors
Resource Type
conference paper
Identifier
http://hdl.handle.net/1959.13/32320
Identifier
ISBN:9783540253372
Reviewed
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Subject
"Genes related with Alzheimer's disease: A comparison of evolutionary search, statistical and integer programming approaches"
 
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