Experiment design through dynamical characterisation of non-linear systems biology models utilising sparse grids

IET Systems Biology

Volumn 4, Issue 4, 2010, Pages 249-262

  Donahue, M M ^a   Buzzard, G T ^b   Rundell, A E ^a  

^a PURDUE UNIVERSITY   (United States)

^b PURDUE UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

CHARACTERISATION; COMPETING MODELS; COMPUTATIONALLY EFFICIENT; DESIGN POINTS; DYNAMICAL BEHAVIOURS; EXPERIMENT DESIGN; EXPERIMENTAL CONDITIONS; EXPERIMENTAL DATA; EXPERIMENTAL DESIGN; EXPERIMENTAL DESIGN METHOD; ILL POSED PROBLEM; MITOGEN ACTIVATED PROTEIN KINASE; MODEL DYNAMICS; MODEL PARAMETERS; PARAMETER ESTIMATE; PARAMETER SUBSPACE; PARAMETER VALUES; PARAMETER VECTORS; SIMULATED MODEL; SPARSE GRID; SYSTEM DYNAMICS; SYSTEM OUTPUT; UNCERTAIN PARAMETERS;

ALGORITHMS; CHAOTIC SYSTEMS; COMPUTER SIMULATION; DESIGN OF EXPERIMENTS; EARTHQUAKE RESISTANCE; LINEAR SYSTEMS; MODEL STRUCTURES; NONLINEAR SYSTEMS; PARAMETER ESTIMATION; STATISTICS;

UNCERTAINTY ANALYSIS;

MITOGEN ACTIVATED PROTEIN KINASE KINASE;

ALGORITHM; ANIMAL; ARTICLE; BIOLOGICAL MODEL; COMPUTER SIMULATION; HUMAN; METABOLISM; METHODOLOGY; NONLINEAR SYSTEM; PHYSIOLOGY; SIGNAL TRANSDUCTION; SYSTEMS BIOLOGY; PROCEDURES;

ALGORITHMS; ANIMALS; COMPUTER SIMULATION; HUMANS; MITOGEN-ACTIVATED PROTEIN KINASE KINASES; MODELS, BIOLOGICAL; NONLINEAR DYNAMICS; SIGNAL TRANSDUCTION; SYSTEMS BIOLOGY;

EID: 77954987002     PISSN: 17518849     EISSN: None     Source Type: Journal    
DOI: 10.1049/iet-syb.2009.0031     Document Type: Article

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