Automated adaptive inference of phenomenological dynamical models

Nature Communications

Volumn 6, Issue , 2015, Pages

  Daniels, Bryan C ^a   Nemenman, Ilya ^b  

^a UNIVERSITY OF WISCONSIN MADISON   (United States)

^b EMORY UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ADAPTATION; COMPUTER SIMULATION; DATA SET; EXPERIMENTAL STUDY; NUMERICAL MODEL; PHENOLOGY; SIGNALING; YEAST;

ACCURACY; ARTICLE; CONTROLLED STUDY; DYNAMICS; GLYCOLYSIS; GRAVITY; NONHUMAN; PHENOMENOLOGY; PHOSPHORYLATION; PREDICTION; SYSTEMS BIOLOGY; BAYES THEOREM; BIOLOGICAL MODEL; CELL FUNCTION; COMPUTER SIMULATION; GENE EXPRESSION REGULATION; GENE REGULATORY NETWORK; NONLINEAR SYSTEM; PHYSIOLOGY; YEAST;

BAYES THEOREM; CELL PHYSIOLOGICAL PHENOMENA; COMPUTER SIMULATION; GENE EXPRESSION REGULATION; GENE REGULATORY NETWORKS; MODELS, BIOLOGICAL; NONLINEAR DYNAMICS; PHOSPHORYLATION; YEASTS;

EID: 84939832859     PISSN: None     EISSN: 20411723     Source Type: Journal    
DOI: 10.1038/ncomms9133     Document Type: Article

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