MOSCFRA: A multi-objective genetic approach for simultaneous clustering and gene ranking

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 6685 LNBI, Issue , 2011, Pages 174-187

  Mondal, Kartick Chandra ^a   Mukhopadhyay, Anirban ^b   Maulik, Ujjwal ^c   Bandhyapadhyay, Sanghamitra ^d   Pasquier, Nicolas ^a  

^a UNIVERSITY OF NICE SOPHIA ANTIPOLIS   (France)

^b UNIVERSITY OF KALYANI   (India)

^c JADAVPUR UNIVERSITY   (India)

^d INDIAN STATISTICAL INSTITUTE   (India)

Author keywords

Clustering; Gene Expression Data; Gene Ranking; Multi objective Evolutionary Algorithm

Indexed keywords

CLUSTERING; DATA SETS; ENCODING TECHNIQUES; EVOLUTIONARY TECHNIQUES; GENE EXPRESSION DATA; GENE RANKING; GENETIC APPROACH; GENETIC BACKGROUNDS; MICROARRAY EXPERIMENTS; MULTI OBJECTIVE; MULTI OBJECTIVE EVOLUTIONARY ALGORITHMS; TISSUE SAMPLES; MULTI-OBJECTIVE EVOLUTIONARY;

ARTIFICIAL INTELLIGENCE; BIOINFORMATICS; EVOLUTIONARY ALGORITHMS; FEATURE EXTRACTION; GENE EXPRESSION; MULTIOBJECTIVE OPTIMIZATION; TISSUE; GENES;

CLUSTERING ALGORITHMS;

EID: 80051687582     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-21946-7_14     Document Type: Conference Paper

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