A hybrid genetic algorithm and expectation maximization method for global gene trajectory clustering

Journal of Bioinformatics and Computational Biology

Volumn 3, Issue 5, 2005, Pages 1227-1242

  Chan, Zeke S H ^a   Kasabov, N ^a   Collins, Lesley ^b  

^a AUCKLAND UNIVERSITY OF TECHNOLOGY   (New Zealand)

^b MASSEY UNIVERSITY   (New Zealand)

Author keywords

Expectation maximization; Gene regulatory networks; Gene trajectory clustering; Genetic algorithm; Microarray data

Indexed keywords

ACCURACY; ARTICLE; COMPUTER SYSTEM; FIBROBLAST; GENE CLUSTER; GENE EXPRESSION; GENETIC ALGORITHM; GENETIC ANALYSIS; GENOMICS; HUMAN; HYBRID GENE; INTERMETHOD COMPARISON; LINEAR REGRESSION ANALYSIS; MATHEMATICAL COMPUTING; METHODOLOGY; MOLECULAR MODEL; NONHUMAN; STATISTICAL MODEL;

ALGORITHMS; ANIMALS; CLUSTER ANALYSIS; GENE EXPRESSION PROFILING; GENE EXPRESSION REGULATION; HUMANS; LIKELIHOOD FUNCTIONS; MODELS, GENETIC; MODELS, STATISTICAL; OLIGONUCLEOTIDE ARRAY SEQUENCE ANALYSIS; PATTERN RECOGNITION, AUTOMATED; SIGNAL TRANSDUCTION; TRANSCRIPTION FACTORS;

EID: 28044463369     PISSN: 02197200     EISSN: None     Source Type: Journal    
DOI: 10.1142/S0219720005001478     Document Type: Article

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