A comprehensive statistical model for cell signaling

IEEE/ACM Transactions on Computational Biology and Bioinformatics

Volumn 8, Issue 3, 2011, Pages 592-606

  Yörük, Erdem ^a   Ochs, Michael F ^b   Geman, Donald ^a   Younes, Laurent ^a  

^a Whiting School of Engineering   (United States)

^b JOHNS HOPKINS UNIVERSITY SCHOOL OF MEDICINE   (United States)

Author keywords

Bayesian networks; Cell signaling networks; Gibbs sampling; Mann Whitney Wilcoxon test; microarray; signaling protein; statistical learning; stochastic approximation expectation maximization

Indexed keywords

CELL SIGNALING NETWORKS; GIBBS SAMPLING; MANN-WHITNEY; SIGNALING PROTEIN; STATISTICAL LEARNING; STOCHASTIC APPROXIMATIONS;

APPROXIMATION THEORY; DISTRIBUTED PARAMETER NETWORKS; INFERENCE ENGINES; INTELLIGENT NETWORKS; KNOWLEDGE BASED SYSTEMS; MAMMALS; MAXIMUM PRINCIPLE; OPTIMIZATION; PROTEINS; SAMPLING; SIGNALING; SPEECH RECOGNITION; STATISTICAL TESTS; STATISTICS; STOCHASTIC SYSTEMS; TOPOLOGY;

BAYESIAN NETWORKS;

MAMMALIA;

MESSENGER RNA;

ALGORITHM; ARTICLE; ARTIFICIAL INTELLIGENCE; BAYES THEOREM; BIOLOGICAL MODEL; BIOLOGY; CELL COMMUNICATION; COMPUTER SIMULATION; DNA MICROARRAY; GENE EXPRESSION PROFILING; GENETICS; HUMAN; HYBRIDIZATION; METABOLISM; METHODOLOGY; PHYSIOLOGY; SIGNAL TRANSDUCTION;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; BAYES THEOREM; CELL COMMUNICATION; COMPUTATIONAL BIOLOGY; COMPUTER SIMULATION; GENE EXPRESSION PROFILING; HUMANS; HYBRIDIZATION, GENETIC; MODELS, BIOLOGICAL; OLIGONUCLEOTIDE ARRAY SEQUENCE ANALYSIS; RNA, MESSENGER; SIGNAL TRANSDUCTION;

EID: 79952848055     PISSN: 15455963     EISSN: None     Source Type: Journal    
DOI: 10.1109/TCBB.2010.87     Document Type: Article

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