Binary tree-structured vector quantization approach to clustering and visualizing microarray data

Bioinformatics

Volumn 18, Issue SUPPL. 1, 2002, Pages

  Sultan, M ^a   Wigle, D A ^b   Cumbaa, C A ^a   Maziarz, M ^c   Glasgow, J ^d   Tsao, M S ^a   Jurisica, I ^a,c  

^a PRINCESS MARGARET HOSPITAL   (Canada)

^b MOUNT SINAI HOSPITAL   (Canada)

^c UNIVERSITY OF TORONTO   (Canada)

^d QUEEN S UNIVERSITY   (Canada)

Author keywords

Lung cancer; Microarray data clustering and visulization; Self organizing maps, partitive means clustering

Indexed keywords

CONFERENCE PAPER; DATA BASE; DNA MICROARRAY; EXPRESSION VECTOR; GENE CLUSTER; GENE EXPRESSION; GENE TECHNOLOGY; PRIORITY JOURNAL; STATISTICAL ANALYSIS; ALGORITHM; ARTICLE; BIOLOGICAL MODEL; CLUSTER ANALYSIS; COMPUTER GRAPHICS; COMPUTER INTERFACE; COMPUTER PROGRAM; EVALUATION; GENE EXPRESSION PROFILING; GENETICS; HUMAN; LUNG NON SMALL CELL CANCER; LUNG TUMOR; METHODOLOGY; STATISTICAL MODEL; VALIDATION STUDY;

ALGORITHMS; CARCINOMA, NON-SMALL-CELL LUNG; CLUSTER ANALYSIS; COMPUTER GRAPHICS; GENE EXPRESSION PROFILING; HUMANS; LUNG NEOPLASMS; MODELS, GENETIC; MODELS, STATISTICAL; OLIGONUCLEOTIDE ARRAY SEQUENCE ANALYSIS; SOFTWARE; USER-COMPUTER INTERFACE;

EID: 0012321068     PISSN: 13674803     EISSN: 13674811     Source Type: Journal    
DOI: 10.1093/bioinformatics/18.suppl_1.S111     Document Type: Conference Paper

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