Statistical Metamodeling and Sequential Design of Computer Experiments to Model Glyco-Altered Gating of Sodium Channels in Cardiac Myocytes

IEEE Journal of Biomedical and Health Informatics

Volumn 20, Issue 5, 2016, Pages 1439-1452

  Du, Dongping ^a   Yang, Hui ^b   Ednie, Andrew R ^c   Bennett, Eric S ^c  

^a Texas Tech University   (United States)

^b The Pennsylvania State University   (United States)

^c UNIVERSITY OF SOUTH FLORIDA   (United States)

Author keywords

Cardiac myocytes; design of computer experiments; Gaussian process; simulation model; sodium channel; space filling design; statistical metamodel

Indexed keywords

GAUSSIAN DISTRIBUTION; GAUSSIAN NOISE (ELECTRONIC); GLYCOSYLATION; HEART; NONLINEAR EQUATIONS; NONLINEAR PROGRAMMING;

CARDIAC MYOCYTES; DESIGN OF COMPUTER EXPERIMENTS; GAUSSIAN PROCESSES; META MODEL; SIMULATION MODEL; SODIUM CHANNEL; SPACE FILLING DESIGNS;

SODIUM COMPOUNDS;

SODIUM CHANNEL; VOLTAGE GATED SODIUM CHANNEL;

ALGORITHM; ARTICLE; CARDIAC MUSCLE CELL; CHANNEL GATING; COMPUTER MODEL; FACTORIAL DESIGN; GLYCOSYLATION; HEART ELECTROPHYSIOLOGY; HEART REPOLARIZATION; HUMAN; HUMAN CELL; MATHEMATICAL MODEL; MATHEMATICAL PARAMETERS; METHODOLOGY; SENSITIVITY ANALYSIS; STATISTICAL ANALYSIS; ANIMAL; BIOLOGY; CYTOLOGY; MARKOV CHAIN; METABOLISM; PHYSIOLOGY; PROCEDURES; THEORETICAL MODEL;

ANIMALS; COMPUTATIONAL BIOLOGY; GLYCOSYLATION; HUMANS; MARKOV CHAINS; MODELS, THEORETICAL; MYOCYTES, CARDIAC; SODIUM CHANNELS;

EID: 84987733014     PISSN: 21682194     EISSN: 21682208     Source Type: Journal    
DOI: 10.1109/JBHI.2015.2458791     Document Type: Article

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