Computational Systems Biology: Chapter 11. Top-Down Dynamical Modeling of Molecular Regulatory Networks

by Reinhard Laubenbacher, Pedro Mendes

Mathematical and statistical network modeling is an important step toward uncovering the organizational principles and dynamic behavior of biological networks. This chapter focuses on methods to construct discrete dynamic models of gene regulatory networks from experimental data sets, also sometimes referred to as top-down modeling or reverse engineering. Time-discrete dynamical systems models have long been used in biology, particularly in population dynamics. The models mainly focused on here are also assumed to have a finite set of possible states for each variable. That is, the modeling framework discussed in this chapter is that of time-discrete dynamical systems over a finite state set.

39 pages, Kindle Edition

Published November 26, 2013