A comparative study of clustering methods for relevant gene selection in microarray data

Advances in Intelligent and Soft Computing

Volumn 166 AISC, Issue VOL. 1, 2012, Pages 789-797

  Sardana, Manju ^a   Agrawal, R K ^a  

^a JAWAHARLAL NEHRU UNIVERSITY   (India)

Author keywords

Clustering; Gene Selection; Microarray; Representative Entropy

Indexed keywords

CANCER DATA; CLASSIFICATION ACCURACY; CLINICAL DIAGNOSIS; CLUSTERING; CLUSTERING METHODS; COMPARATIVE STUDIES; COMPUTATION TIME; DATA SETS; GENE CLUSTERING; GENE SELECTION; HIGH DIMENSIONS; MICROARRAY DATA; MICROARRAY DATA SETS; RESEARCH COMMUNITIES; SMALL SAMPLE SIZE; STATE-OF-ART METHODS; TWO STAGE APPROACH; WRAPPER METHODS;

CLUSTERING ALGORITHMS; COMPUTER SCIENCE; DATA REDUCTION; DIAGNOSIS; DISEASES; GENES; MICROARRAYS;

CLASSIFICATION (OF INFORMATION);

EID: 84865161275     PISSN: 18675662     EISSN: None     Source Type: Book Series    
DOI: 10.1007/978-3-642-30157-5_78     Document Type: Conference Paper

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