Reconstructing gene regulatory networks with Bayesian networks by combining expression data with multiple sources of prior knowledge

Statistical Applications in Genetics and Molecular Biology

Volumn 6, Issue 1, 2007, Pages

  Werhli, Adriano V ^a   Husmeier, Dirk ^b  

^a UNIVERSITY OF EDINBURGH   (United Kingdom)

^b BIOMATHEMATICS AND STATISTICS SCOTLAND   (United Kingdom)

Author keywords

Bayesian inference; Bayesian networks; Gene expression data; Gene regulatory networks; Immunoprecipitation experiments; KEGG pathways; Markov chain Monte Carlo; Microarrays

Indexed keywords

RAF PROTEIN;

ACCURACY; ARTICLE; BAYES THEOREM; CELL CYCLE; CONTROLLED STUDY; DATA ANALYSIS; ENERGY; ERROR; GENE CONTROL; GENE EXPRESSION; GENE STRUCTURE; NONHUMAN; QUANTITATIVE ANALYSIS; SAMPLE (STATISTICS); SIMULATION; STATISTICAL DISTRIBUTION; STATISTICAL PARAMETERS; YEAST CELL; IMMUNOPRECIPITATION; MONTE CARLO METHOD; PROBABILITY; REGULATOR GENE;

BAYES THEOREM; GENE EXPRESSION; GENES, REGULATOR; IMMUNOPRECIPITATION; MARKOV CHAINS; MONTE CARLO METHOD; PROBABILITY;

EID: 34249774309     PISSN: None     EISSN: 15446115     Source Type: Journal    
DOI: 10.2202/1544-6115.1282     Document Type: Article

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