Time accelerated Monte Carlo simulations of biological networks using the binomial τ-leap method

Bioinformatics

Volumn 21, Issue 9, 2005, Pages 2136-2137

  Chatterjee, Abhijit ^a   Mayawala, Kapil ^a   Edwards, Jeremy S ^a   Vlachos, Dionisios G ^a  

^a University of Delaware   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

EPIDERMAL GROWTH FACTOR; EPIDERMAL GROWTH FACTOR RECEPTOR; EPIDERMAL GROWTH FACTOR RECEPTOR 2; MITOGEN ACTIVATED PROTEIN KINASE; RAF PROTEIN;

ALGORITHM; ARTICLE; BINOMIAL DISTRIBUTION; BIOLOGICAL MODEL; CELL DIFFERENTIATION; CELL MIGRATION; CELL POPULATION; CELL PROLIFERATION; CONTROLLED STUDY; ENZYME ACTIVATION; MATHEMATICAL MODEL; MONTE CARLO METHOD; PHENOTYPE; POPULATION SIZE; PRIORITY JOURNAL; PROBABILITY; QUANTITATIVE ANALYSIS; SIGNAL TRANSDUCTION; STOCHASTIC MODEL;

EID: 18744405416     PISSN: 13674803     EISSN: 13674811     Source Type: Journal    
DOI: 10.1093/bioinformatics/bti308     Document Type: Article

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