Gene regulatory network reconstruction by bayesian integration of prior knowledge and/or different experimental conditions

Journal of Bioinformatics and Computational Biology

Volumn 6, Issue 3, 2008, Pages 543-572

  Werhli, Adriano V ^a   Husmeier, Dirk ^b  

^a PONTIFICAL CATHOLIC UNIVERSITY OF RIO GRANDE DO SUL   (Brazil)

^b BIOMATHEMATICS AND STATISTICS SCOTLAND   (United Kingdom)

Author keywords

Bayesian inference; Bayesian networks; Data integration; Gene expression data; Gene regulatory networks; KEGG; Markov chain Monte Carlo; Raf pathway

Indexed keywords

RAF PROTEIN;

BAYES THEOREM; BAYESIAN LEARNING; CONFERENCE PAPER; CYTOMETRY; GENE EXPRESSION REGULATION; GENE REGULATORY NETWORK; MATHEMATICAL COMPUTING; MICROARRAY ANALYSIS; MONTE CARLO METHOD; PROBABILITY; SIGNAL TRANSDUCTION; VALIDATION PROCESS;

BAYES THEOREM; GENE EXPRESSION REGULATION; INFORMATION SERVICES; KNOWLEDGE BASES; MODELS, BIOLOGICAL; MONTE CARLO METHOD; RESEARCH DESIGN;

EID: 46049101810     PISSN: 02197200     EISSN: None     Source Type: Journal    
DOI: 10.1142/S0219720008003539     Document Type: Conference Paper

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