Quantifying Parameter Interdependence in Stochastic Discrete Models of Biochemical Systems

• Published in: Entropy (Basel, Switzerland) Vol. 25; no. 8; p. 1168
• Main Authors: Gholami, Samaneh, Ilie, Silvana
• Format: Journal Article
• Language: English
• Published: Basel MDPI AG 01.08.2023; MDPI
• Subjects: Algorithms; Biochemistry; Chemotaxonomy; Collinearity; Discrete-time systems; estimability analysis; Expected values; Finite difference method; finite-difference methods; Markov analysis; Methods; Monte Carlo simulation; Ordinary differential equations; Parameter estimation; Parameter sensitivity; parameter subset selection; Sensitivity analysis; Singular value decomposition; stochastic biochemical systems; Stochastic models; Stochastic processes; stochastic simulation algorithm; Canada

Stochastic modeling of biochemical processes at the cellular level has been the subject of intense research in recent years. The Chemical Master Equation is a broadly utilized stochastic discrete model of such processes. Numerous important biochemical systems consist of many species subject to many...