Deterministic Differential Equations

Paola Lecca, Angela Re, Adaoha Ihekwaba, Ivan Mura, Thanh-Phuong Nguyen

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

Abstract

A practical introduction to the concepts underlying the deterministic modeling of biological systems by coupled differential equations is addressed in this chapter. We present a timed interpretation of the occurrence of events in a biological system that well suits the encoding of qualitative information concerning the structure of networks of interacting components as well as the quantitative information obtained through “wet-laboratory” experiments. We first illustrate the basic rationale of the model specification process, supported by the presentation of a set of increasing complexity examples. We then proceed to describe the possibilities of analytical evaluation of model dynamics as well as the basic concepts underlying the simulative approaches, through application to relevant instances of biological systems.
Original languageEnglish
Title of host publicationComputational Systems Biology
Subtitle of host publicationInference and Modelling
PublisherElsevier
Chapter5
Pages67-98
Number of pages32
Edition1
ISBN (Print)978-0-08-100095-3
DOIs
Publication statusPublished - 2016
Externally publishedYes

Publication series

NameComputational Systems Biology

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