Quantitative utilization of prior biological knowledge in the Bayesian network modeling of gene expression data - Gao, Shouguo; Wang, Xujing (BMC bioinformatics, 2011)
Keywords: Algorithms; Animals; Bayes Theorem; Bayesian statistical decision theory; Bias; Bioinformatics; Biomedical and Life Sciences; Computational biology; Computational Biology - methods; Computational Biology/Bioinformatics; Computer Appl. in Life Sciences; Diabetes; Gene expression; Gene Expression Profiling - methods; Life Sciences; Markov analysis; Markov Chains; Methodology; Methodology Article; Mice; Microarrays; Models, Genetic; Ontology; Pancreas - cytology; Pancreas - metabolism; Probability; Proteins; PubMed; Random variables; Reservoirs; Reverse engineering; Saccharomyces cerevisiae - cytology; Saccharomyces cerevisiae - genetics; Saccharomyces cerevisiae Proteins - genetics; Standard deviation; Studies; Transcriptome analysis; Yeast; Yeasts; United States; Markov Chain Monte Carlo; Gene Pair; Bayesian Network; Gene Ontology; Gene Expression Data