Bayesian model-based inference of transcription factor activity

BMC Bioinformatics

Volumn 8, Issue SUPPL. 2, 2007, Pages

  Rogers, Simon ^a   Khanin, Raya ^a   Girolami, Mark ^a  

^a UNIVERSITY OF GLASGOW   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

BAYESIAN INFERENCE; MAXIMUM LIKELIHOOD APPROACHES; MICHAELIS-MENTEN KINETIC; MICROARRAY DATA; NON-LINEAR MODEL; NONLINEAR NATURE; POST-TRANSLATIONAL MODIFICATIONS; REGULATORY INTERACTIONS;

BAYESIAN NETWORKS; GENES; INFERENCE ENGINES; MATHEMATICAL MODELS; TRANSCRIPTION FACTORS;

TRANSCRIPTION;

TRANSCRIPTION FACTOR;

ARTICLE; BAYES THEOREM; COMPARATIVE STUDY; DATA ANALYSIS; GENE ACTIVITY; GENE EXPRESSION; GENE TARGETING; LINEAR SYSTEM; MICHAELIS MENTEN KINETICS; MICROARRAY ANALYSIS; NONLINEAR SYSTEM; STATISTICAL MODEL; ALGORITHM; ARTIFICIAL INTELLIGENCE; BIOLOGICAL MODEL; COMPUTER SIMULATION; PHYSIOLOGY; SIGNAL TRANSDUCTION; TRANSACTIVATION;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; BAYES THEOREM; COMPUTER SIMULATION; MODELS, BIOLOGICAL; SIGNAL TRANSDUCTION; TRANS-ACTIVATION (GENETICS); TRANSCRIPTION FACTORS;

EID: 34249856850     PISSN: None     EISSN: 14712105     Source Type: Journal    
DOI: 10.1186/1471-2105-8-S2-S2     Document Type: Article

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