Developing Itô stochastic differential equation models for neuronal signal transduction path\-ways
type: Item
instance of: scholarly article
title: Developing Itô stochastic differential equation models for neuronal signal transduction path\-ways
zbMATH Open document ID: 1098.92035
author: Tiina Manninen
author: Marja-Leena Linne
author: Keijo Ruohonen
published in: Computational Biology and Chemistry
publication date: 2006-10-31T00:00:00Z
Mathematics Subject Classification ID: 92C45
Mathematics Subject Classification ID: 92C20
Mathematics Subject Classification ID: 60J70
Mathematics Subject Classification ID: 92C55
Mathematics Subject Classification ID: 60H10
Mathematics Subject Classification ID: 65C50
zbMATH DE Number: 5068983
zbMATH Keywords: Itô stochastic differential equation
zbMATH Keywords: chemical Langevin equation
zbMATH Keywords: Gillespie stochastic simulation algorithm
zbMATH Keywords: neuronal signal transduction
describes a project that uses: STOCHSIM
MaRDI profile type: Publication
full work available at URL: j.compbiolchem.2006.04.002
OpenAlex ID: W2055613433
Wikidata QID: Q51936340
cites work: Computational Methods in Systems Biology
cites work: Numerical methods for strong solutions of stochastic differential equations: an overview
cites work: The multivariate Langevin and Fokker–Planck equations
cites work: An algorithmic introduction to numerical simulation of stochastic differential equations
cites work: The sorting direct method for stochastic simulation of biochemical systems with varying reaction execution behavior
cites work: Balanced Implicit Methods for Stiff Stochastic Systems
cites work: Stochastic differential equations. An introduction with applications.
cites work: Stochastic approaches for modelling in vivo reactions
DOI: 10.1016/J.COMPBIOLCHEM.2006.04.002
DBLP publication ID: journals/candc/ManninenLR06
description: scientific article; zbMATH DE number 5068983