Regression analysis for constraining free parameters in electrophysiological models of cardiac cells

PLoS Computational Biology

Volumn 6, Issue 9, 2010, Pages

  Sarkar, Amrita X ^a   Sobie, Eric A ^a  

^a MOUNT SINAI SCHOOL OF MEDICINE   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

BAYESIAN NETWORKS; ELECTROPHYSIOLOGY; NEUROLOGY; PHYSIOLOGICAL MODELS; REGRESSION ANALYSIS; SENSITIVITY ANALYSIS;

CARDIAC CELL; COMPUTATIONAL BIOLOGY; ELECTROPHYSIOLOGICAL MODELS; FREE PARAMETERS; MATRIX; MODEL OUTPUTS; MODELING BEHAVIOUR; MODELING PARAMETERS; PARAMETER SENSITIVITY ANALYSIS; UNDESIRABLE EFFECTS;

MATRIX ALGEBRA;

ARTICLE; BAYES THEOREM; COMPUTER SIMULATION; CONTROLLED STUDY; HEART FAILURE; HEART MUSCLE CELL; HUMAN; HUMAN CELL; HUMAN TISSUE; MEMBRANE CONDUCTANCE; MEMBRANE ELECTROPHYSIOLOGY; MULTIVARIATE LOGISTIC REGRESSION ANALYSIS; PROBABILITY; REGRESSION ANALYSIS; SENSITIVITY ANALYSIS; ACTION POTENTIAL; ANIMAL; BIOLOGICAL MODEL; BIOLOGY; CYTOLOGY; DOG; HEART ELECTROPHYSIOLOGY; HEART VENTRICLE; METHODOLOGY; MULTIVARIATE ANALYSIS; PATHOPHYSIOLOGY; PHYSIOLOGY;

ACTION POTENTIALS; ANIMALS; BAYES THEOREM; CARDIAC ELECTROPHYSIOLOGY; COMPUTATIONAL BIOLOGY; COMPUTER SIMULATION; DOGS; HEART FAILURE; HEART VENTRICLES; HUMANS; MODELS, CARDIOVASCULAR; MULTIVARIATE ANALYSIS; MYOCYTES, CARDIAC; REGRESSION ANALYSIS;

EID: 78049436203     PISSN: 1553734X     EISSN: 15537358     Source Type: Journal    
DOI: 10.1371/journal.pcbi.1000914     Document Type: Article

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