@inbook{e580e636dcc446c78c4e9b038b911c3c,
title = "Deriving Differential Equations from Process Algebra Models in Reagent-Centric Style",
abstract = "The reagent-centric style of modeling allows stochastic process algebra models of biochemical signaling pathways to be developed in an intuitive way. Furthermore, once constructed, the models are amenable to analysis by a number of different mathematical approaches including both stochastic simulation and coupled ordinary differential equations. In this chapter, we give a tutorial introduction to the reagent-centric style, in PEPA and Bio-PEPA, and the way in which such models can be used to generate systems of ordinary differential equations.",
author = "Jane Hillston and Adam Duguid",
year = "2009",
doi = "10.1007/978-3-540-88869-7_24",
language = "English",
isbn = "978-3-540-88868-0",
series = "Natural Computing Series",
publisher = "Springer",
pages = "487--504",
editor = "Anne Condon and David Harel and Kok, {Joost N.} and Arto Salomaa and Erik Winfree",
booktitle = "Algorithmic Bioprocesses",
address = "United Kingdom",
}