Can I read Bayesian Parameter Estimation for Dynamical Models in Systems Biology on EtoBox?

Bayesian Parameter Estimation for Dynamical Models in Systems Biology by Nathaniel J. Linden, Boris Kramer, Padmini Rangamani is a book available to read on EtoBox.

What is Bayesian Parameter Estimation for Dynamical Models in Systems Biology about?

Abstracta1111111111Dynamical systems modeling, particularly via systems of ordinary differential equations, hasa1111111111been used to effectively capture the temporal behavior of different biochemical componentsin signal transduction networks. Despite the recent advances in experimental measurements, including sensor development and ‘-omics’ studies that have helped populate protein-protein interaction networks in great detail, modeling in systems biology lacksOPEN ACCESSsystematic methods to estimate kinetic parameters and quantify associated uncertainties.Citation: Linden NJ, Kramer B, Rangamani PThis is because of multiple reasons, including sparse and noisy experimental measure(2022) Bayesian parameter estimation forments, lack of detailed molecular mechanisms underlying the reactions, and missing biodynamical models in systems biology. PLoSchemical interactions. Additionally, the inherent nonlinearities with respect to the states andComput Biol 18(10): e1010651. associated with the system of differential equations further compound the chal10.1371/journal.pcbi.1010651Editor: Jeffrey J. Saucerman, University of Virginia,lenges of parameter estimation. In this study, we pro

Author

Nathaniel J. Linden, Boris Kramer, Padmini Rangamani

Published

2025

Language

EN