A new clustering method for microarray data analysis

Proceedings - IEEE Computer Society Bioinformatics Conference, CSB 2002

Volumn , Issue , 2002, Pages 268-275

  Zhang, Louxin ^a   Zhu, Song ^b  

^a NATIONAL UNIVERSITY OF SINGAPORE   (Singapore)

^b Lab for Information Technology   (Singapore)

Author keywords

[No Author keywords available]

Indexed keywords

BIOINFORMATICS; COMPUTATIONAL COMPLEXITY; COMPUTATIONAL EFFICIENCY; GENE EXPRESSION; GENES; YEAST;

CLUSTERING METHODS; CO-REGULATION; EXPRESSION LEVELS; GENE EXPRESSION LEVELS; GREEDY ALGORITHMS; MICROARRAY DATA ANALYSIS; NOVEL CLUSTERING; RANDOM MATRICES;

CLUSTER ANALYSIS;

SACCHAROMYCES CEREVISIAE PROTEIN;

ALGORITHM; ARTICLE; AUTOMATED PATTERN RECOGNITION; CLUSTER ANALYSIS; DNA MICROARRAY; DNA SEQUENCE; EVALUATION; GENE EXPRESSION PROFILING; GENETICS; METABOLISM; METHODOLOGY; SEQUENCE ALIGNMENT;

ALGORITHMS; CLUSTER ANALYSIS; GENE EXPRESSION PROFILING; OLIGONUCLEOTIDE ARRAY SEQUENCE ANALYSIS; PATTERN RECOGNITION, AUTOMATED; SACCHAROMYCES CEREVISIAE PROTEINS; SEQUENCE ALIGNMENT; SEQUENCE ANALYSIS, DNA;

EID: 18244397718     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CSB.2002.1039349     Document Type: Conference Paper

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