Sampling-based analysis of a spatially distributed model for liver metabolism at steady state

Multiscale Modeling and Simulation

Volumn 7, Issue 1, 2008, Pages 407-431

  Calvetti, Daniela ^a   Kuceyeski, Amy ^a   Somersalo, Erkki ^b  

^a CASE WESTERN RESERVE UNIVERSITY   (United States)

^b AALTO UNIVERSITY   (Finland)

Author keywords

Bayesian flux balance analysis; Markov chain Monte; Spatially distributed model

Indexed keywords

BAYESIAN; BAYESIAN FLUX BALANCE ANALYSIS; BIOCHEMICAL REACTIONS; BLOOD CONCENTRATIONS; COMPUTATIONAL CHALLENGES; ESSENTIAL FEATURES; FINITE DIFFERENCE APPROXIMATIONS; FLUX BALANCE ANALYSIS; IN SILICO EXPERIMENTS; IN-VIVO EXPERIMENTS; MARKOV CHAIN MONTE; MARKOV CHAINS; MCMC METHODS; METABOLIC INTERMEDIATES; METABOLIC MODELS; METABOLIC PROCESSES; METABOLIC SYSTEMS; MODEL PARAMETERS; NUMBER OF GRIDS; POSTE-RIORS; PREDICTIVE MODELS; RAILWAY SYSTEMS; SAMPLING SCHEMES; SMOOTHNESS PRIORS; SPATIAL DISCRETIZATION; SPATIAL LOCATIONS; SPATIAL PARAMETERS; SPATIALLY DISTRIBUTED MODEL; SPATIALLY DISTRIBUTED MODELS; STEADY STATES;

BAYESIAN NETWORKS; BIOCHEMISTRY; BLOOD; FLUXES; LIVER; MARKOV PROCESSES; METABOLISM;

MODAL ANALYSIS;

EID: 55149103972     PISSN: 15403459     EISSN: 15403467     Source Type: Journal    
DOI: 10.1137/070682824     Document Type: Article

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