The physiological behaviors of cells (growth and division, differentiation, movement,
death, etc.) are controlled by complex networks of interacting genes and proteins, and
a fundamental goal of computational cell biology is to develop dynamical models of
these regulatory networks that are realistic, accurate and predictive. Historically, these
models have divided along two basic lines: deterministic or stochastic, and continuous
or discrete, with scattered efforts to develop hybrid approaches that bridge these
divides.