Parametric sensitivity analysis for biochemical reaction networks based on pathwise information theory

BMC Bioinformatics

Volumn 14, Issue 1, 2013, Pages

  Pantazis, Yannis ^a   Katsoulakis, Markos A ^a   Vlachos, Dionisios G ^b  

^a UNIVERSITY OF MASSACHUSETTS   (United States)

^b University of Delaware   (United States)

Author keywords

Biochemical reaction networks; EGFR model; P53 model; Pathwise Fisher information matrix; Relative entropy rate; Sensitivity analysis

Indexed keywords

BIOCHEMICAL REACTION NETWORK; COMPLEX STOCHASTIC SYSTEMS; EPIDERMAL GROWTH FACTOR RECEPTORS; PARAMETER IDENTIFIABILITY; PARAMETER SENSITIVITY ANALYSIS; PARAMETRIC SENSITIVITY ANALYSIS; RELATIVE ENTROPY RATES; STOCHASTIC TRAJECTORIES;

BIOCHEMISTRY; COMPUTER SIMULATION; FISHER INFORMATION MATRIX; RANDOM PROCESSES; SENSITIVITY ANALYSIS; SIGNAL THEORY; STOCHASTIC MODELS; STOCHASTIC SYSTEMS;

COMPLEX NETWORKS;

PROTEIN;

ARTICLE; BIOLOGICAL MODEL; ENTROPY; GENETICS; INFORMATION SCIENCE; METHODOLOGY; PHYSIOLOGY; STATISTICS; SYSTEMS BIOLOGY;

ENTROPY; INFORMATION THEORY; MODELS, BIOLOGICAL; PROTEINS; STOCHASTIC PROCESSES; SYSTEMS BIOLOGY;

EID: 84886920842     PISSN: None     EISSN: 14712105     Source Type: Journal    
DOI: 10.1186/1471-2105-14-311     Document Type: Article

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