Adjusting phenotypes by noise control

PLoS Computational Biology

Volumn 8, Issue 1, 2012, Pages

  Kim, Kyung H ^a   Sauro, Herbert M ^a  

^a University of Washington   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

CHEMICAL ANALYSIS; COMPUTER CONTROL SYSTEMS; CONTINUOUS TIME SYSTEMS; GENE EXPRESSION; NUMERICAL METHODS; STOCHASTIC CONTROL SYSTEMS; STOCHASTIC MODELS;

BIOCHEMICAL PROCESS; CELLULAR PROCESS; ENGINEERING PERSPECTIVE; GENE NETWORKS; GENES EXPRESSION; MATHEMATICAL STRUCTURE; NOISE LEVELS; NOISE PROPAGATION; STOCHASTIC EVENTS; SYSTEMATIC METHOD;

STOCHASTIC SYSTEMS;

PROTEIN P53;

ARTICLE; CHEMICAL REACTION; COMPUTER NETWORK; CONTROL SYSTEM; DNA DAMAGE; GENE EXPRESSION REGULATION; GENE EXPRESSION SYSTEM; HIDDEN MARKOV MODEL; HUMAN IMMUNODEFICIENCY VIRUS 1; LONG TERMINAL REPEAT; MATHEMATICAL COMPUTING; NOISE REDUCTION; PROMOTER REGION; SACCHAROMYCES CEREVISIAE; SOCIAL NETWORK; STOCHASTIC MODEL; COMPUTER SIMULATION; GENE REGULATORY NETWORK; GENETICS; HUMAN IMMUNODEFICIENCY VIRUS; METABOLISM; PHENOTYPE;

COMPUTER SIMULATION; GENE EXPRESSION REGULATION; GENE REGULATORY NETWORKS; HIV; PHENOTYPE; SACCHAROMYCES CEREVISIAE; TUMOR SUPPRESSOR PROTEIN P53;

EID: 84857498708     PISSN: 1553734X     EISSN: 15537358     Source Type: Journal    
DOI: 10.1371/journal.pcbi.1002344     Document Type: Article

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