Comprehensive analysis of multiple microarray datasets by binarization of consensus partition matrix

IEEE International Workshop on Machine Learning for Signal Processing, MLSP

Volumn , Issue , 2012, Pages

  Abu Jamous, Basel ^a   Fa, Rui ^a   Roberts, David J ^b   Nandi, Asoke K ^a,c  

^a UNIVERSITY OF LIVERPOOL   (United Kingdom)

^b UNIVERSITY OF OXFORD   (United Kingdom)

^c UNIVERSITY OF JYVÄSKYLÄ   (Finland)

Author keywords

consensus fuzzy partition matrix binarization; Ensemble clustering; gene clustering; yeast cell cycle

Indexed keywords

BINARIZATIONS; CLUSTER GENES; CLUSTERING METHODS; COMPREHENSIVE ANALYSIS; DATA SETS; ENSEMBLE CLUSTERING; GENE CLUSTERING; GENE EXPRESSION DATASETS; MICROARRAY DATA SETS; YEAST CELL CYCLES;

GENE EXPRESSION; LEARNING SYSTEMS; SIGNAL PROCESSING;

CLUSTER ANALYSIS;

EID: 84870675630     PISSN: 21610363     EISSN: 21610371     Source Type: Conference Proceeding    
DOI: 10.1109/MLSP.2012.6349787     Document Type: Conference Paper

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