Using multiobjective optimization for biclustering microarray data

[Display omitted] •A new multiobjective modeling for the biclustering problem.•A new hybrid multiobjective algorithm gradually conceived for best results.•Extracting relevant biclusters with large sizes compared to classical methods. Microarray data analysis is a challenging problem in the data mini...

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Bibliographic Details

Published in:	Applied soft computing Vol. 33; pp. 239 - 249
Main Authors:	Seridi, Khedidja, Jourdan, Laetitia, Talbi, El-Ghazali
Format:	Journal Article
Language:	English
Published:	Elsevier B.V 01.08.2015 Elsevier
Subjects:	Biclustering problem Combinatorics Evolutionary algorithm Gene expression data Mathematics Multiobjective combinatorial optimization Biclustering problem Multiobjective combinatorial optimization Gene expression data Evolutionary algorithm
ISSN:	1568-4946, 1872-9681
Online Access:	Get full text
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