Utilizing evolutionary information and gene expression data for estimating gene networks with Bayesian network models

Journal of Bioinformatics and Computational Biology

Volumn 3, Issue 6, 2005, Pages 1295-1313

  Tamada, Yoshinori ^a   Bannai, Hideo ^b   Imoto, Seiya ^b   Katayama, Toshiaki ^b   Kanehisa, Minoru ^a   Miyano, Satoru ^b  

^a KYOTO UNIVERSITY   (Japan)

^b UNIVERSITY OF TOKYO   (Japan)

Author keywords

Bayesian network; Evolutionary information; Gene network; Microarray data

Indexed keywords

CELL CYCLE PROTEIN 6;

ARTICLE; BAYES THEOREM; CELL CYCLE G1 PHASE; CELL CYCLE PARAMETERS; CELL CYCLE S PHASE; COMPUTER PROGRAM; CONTROLLED STUDY; DNA MICROARRAY; DNA REPLICATION; GENE EXPRESSION; GENE SEQUENCE; GENETIC ALGORITHM; GENETIC CONSERVATION; GENETIC DIFFERENCE; GENETIC VARIABILITY; HUMAN; MATHEMATICAL COMPUTING; NONHUMAN; PROBABILITY; SACCHAROMYCES CEREVISIAE; SENSITIVITY AND SPECIFICITY; SEQUENCE HOMOLOGY; SPECIES DIFFERENCE; SPECIES DIFFERENTIATION;

BAYES THEOREM; COMPUTER SIMULATION; EVOLUTION, MOLECULAR; GENE EXPRESSION PROFILING; GENE EXPRESSION REGULATION; GENES, CDC; HUMANS; MODELS, BIOLOGICAL; MODELS, STATISTICAL; PROTEOME; SACCHAROMYCES CEREVISIAE; SIGNAL TRANSDUCTION;

HOMO SAPIENS; SACCHAROMYCES CEREVISIAE;

EID: 31044450846     PISSN: 02197200     EISSN: None     Source Type: Journal    
DOI: 10.1142/S0219720005001569     Document Type: Article

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