A multi-objective heuristic algorithm for gene expression microarray data classification

•A multi-objective model for microarray based on analytic hierarchy process is built.•A heuristic algorithm improved from UMDA called MOEDA is to solve the model.•Both classification accuracy and number of genes are the objectives.•The classification accuracy is treated absolutely important than the...

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Vydané v:	Expert systems with applications Ročník 59; s. 13 - 19
Hlavní autori:	Lv, Jia, Peng, Qinke, Chen, Xiao, Sun, Zhi
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Elsevier Ltd 15.10.2016
Predmet:	Accuracy Algorithms Classification Clinical medicine Expert systems Gene expression Gene selection Genes Heuristic algorithm Heuristic methods Microarray Multi-objective Small number of selected genes Gene selection Multi-objective Microarray Small number of selected genes Heuristic algorithm
ISSN:	0957-4174, 1873-6793
On-line prístup:	Získať plný text
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