NIFTI: An evolutionary approach for finding number of clusters in microarray data

BMC Bioinformatics

Volumn 10, Issue , 2009, Pages

  Jonnalagadda, Sudhakar ^a   Srinivasan, Rajagopalan ^a  

^a NATIONAL UNIVERSITY OF SINGAPORE   (Singapore)

Author keywords

[No Author keywords available]

Indexed keywords

CLUSTERING TECHNIQUES; EVOLUTIONARY APPROACH; GENE EXPRESSION DATA; GENE EXPRESSION DATA ANALYSIS; INFORMATION CONTENTS; INFORMATION TRANSFER INDEX; MICROARRAY DATA SETS; NUMBER OF CLUSTERS;

CLUSTER ANALYSIS; GENE EXPRESSION;

CLUSTERING ALGORITHMS;

DNA;

ARTICLE; COMPUTER PROGRAM; DNA MICROARRAY; EVOLUTIONARY ALGORITHM; GENE CLUSTER; GENE EXPRESSION; GENE FUNCTION; GENETIC ANALYSIS; GENETIC IDENTIFICATION; HUMAN; HUMAN CELL; NONHUMAN; ALGORITHM; AUTOMATED PATTERN RECOGNITION; BIOLOGY; CLUSTER ANALYSIS; GENE EXPRESSION PROFILING; LYMPHOMA; METABOLISM; METHODOLOGY;

ALGORITHMS; CLUSTER ANALYSIS; COMPUTATIONAL BIOLOGY; GENE EXPRESSION PROFILING; HUMANS; LYMPHOMA; OLIGONUCLEOTIDE ARRAY SEQUENCE ANALYSIS; PATTERN RECOGNITION, AUTOMATED; SOFTWARE;

EID: 65249117580     PISSN: None     EISSN: 14712105     Source Type: Journal    
DOI: 10.1186/1471-2105-10-40     Document Type: Article

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