Efficient inference of parsimonious phenomenological models of cellular dynamics using S-systems and alternating regression

PLoS ONE

Volumn 10, Issue 3, 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

ARTICLE; BAYES THEOREM; CELL METABOLISM; COMPARATIVE STUDY; GLYCOLYSIS; LINEAR REGRESSION ANALYSIS; MATHEMATICAL COMPUTING; MOLECULAR DYNAMICS; NONHUMAN; NONLINEAR REGRESSION ANALYSIS; NONLINEAR SYSTEM; PARSIMONY ANALYSIS; PHENOMENOLOGY; PLOTS AND CURVES; PREDICTION; S SYSTEM; SIMULATION; STATISTICAL MODEL; SYSTEM ANALYSIS; YEAST; COMPUTER SIMULATION; GENE REGULATORY NETWORK; SYSTEMS BIOLOGY; THEORETICAL MODEL;

BAYES THEOREM; COMPUTER SIMULATION; GENE REGULATORY NETWORKS; MODELS, THEORETICAL; NONLINEAR DYNAMICS; SYSTEMS BIOLOGY; YEASTS;

EID: 84926343784     PISSN: None     EISSN: 19326203     Source Type: Journal    
DOI: 10.1371/journal.pone.0119821     Document Type: Article

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