Computation of steady-state probability distributions in stochastic models of cellular networks

PLoS Computational Biology

Volumn 7, Issue 10, 2011, Pages

  Hallen, Mark ^a,b   Li, Bochong ^a   Tanouchi, Yu ^a   Tan, Cheemeng ^a,d   West, Mike ^b,c   You, Lingchong ^a,b  

^a Duke University   (United States)

^b DUKE UNIVERSITY   (United States)

^c Duke University   (United States)

^d NONE   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

CELL SIGNALING; CONVOLUTION; MAMMALS; MOBILE TELECOMMUNICATION SYSTEMS; PROBABILITY DISTRIBUTIONS; STOCHASTIC MODELS; STOCHASTIC SYSTEMS; WIRELESS NETWORKS;

CELL CONCENTRATIONS; CELLULAR NETWORK; CELLULAR PROCESS; ENVIRONMENTAL PERTURBATIONS; MEASUREMENTS OF; RANDOM FLUCTUATION; STEADY STATE; STEADY-STATE MEASUREMENTS; STEADY-STATE PROBABILITY DISTRIBUTIONS; STOCHASTIC-MODELING;

MOLECULES;

MYC PROTEIN; RETINOBLASTOMA PROTEIN; RNA POLYMERASE; T7 RNA POLYMERASE; TRANSCRIPTION FACTOR E2F; UNCLASSIFIED DRUG;

ARTICLE; BACTERIAL GROWTH; BINOMIAL DISTRIBUTION; CELL CYCLE REGULATION; CONTROLLED STUDY; DEGRADATION KINETICS; ESCHERICHIA COLI; EXTRINSIC NOISE; GENE EXPRESSION; INTRINSIC NOISE; NOISE; NONHUMAN; POSITIVE FEEDBACK; PROBABILITY; PROTEIN EXPRESSION; PROTEIN SYNTHESIS; REACTION ANALYSIS; SIGNAL TRANSDUCTION; STEADY STATE; STOCHASTIC MODEL; BIOLOGICAL MODEL; STATISTICS;

MAMMALIA;

MODELS, BIOLOGICAL; PROBABILITY; STOCHASTIC PROCESSES;

EID: 80055086867     PISSN: 1553734X     EISSN: 15537358     Source Type: Journal    
DOI: 10.1371/journal.pcbi.1002209     Document Type: Article

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