Clustering of gene expression data: Performance and similarity analysis

BMC Bioinformatics

Volumn 7, Issue SUPPL.4, 2006, Pages

  Yin, Longde ^a   Huang, Chun Hsi ^a   Ni, Jun ^b  

^a University of Connecticut   (United States)

^b University of Iowa   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

DNA MICROARRAY TECHNOLOGY; EFFECTIVE APPROACHES; GENE EXPRESSION DATA; HIERARCHICAL CLUSTERING; INNOVATIVE METHODOLOGIES; SELF-ORGANIZING TREES; VISUAL REPRESENTATIONS; YEAST SACCHAROMYCES CEREVISIAE;

BIOINFORMATICS; CONFORMAL MAPPING; DATA MINING; GENE EXPRESSION; MOLECULAR BIOLOGY; TOOLS; YEAST;

CLUSTERING ALGORITHMS;

ALGORITHM; ARTICLE; ARTIFICIAL NEURAL NETWORK; BIOINFORMATICS; CLUSTER ANALYSIS; COMPUTER PROGRAM; CONTROLLED STUDY; GENE EXPRESSION PROFILING; INFORMATION PROCESSING; NONHUMAN; SACCHAROMYCES CEREVISIAE; SENSITIVITY ANALYSIS; ARTIFICIAL INTELLIGENCE; AUTOMATED PATTERN RECOGNITION; COMPARATIVE STUDY; DNA MICROARRAY; EVALUATION STUDY; GENETIC DATABASE; MULTIGENE FAMILY; PHYSIOLOGY; PROCEDURES; REPRODUCIBILITY; SENSITIVITY AND SPECIFICITY;

SACCHAROMYCES CEREVISIAE;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; CLUSTER ANALYSIS; DATABASES, GENETIC; GENE EXPRESSION PROFILING; MULTIGENE FAMILY; OLIGONUCLEOTIDE ARRAY SEQUENCE ANALYSIS; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY;

EID: 33947402294     PISSN: None     EISSN: 14712105     Source Type: Journal    
DOI: 10.1186/1471-2105-7-S4-S19     Document Type: Article

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