Stochastic Chemical Reaction Systems in Biology

This book provides an introduction to the analysis of stochastic dynamic  models in biology and medicine. The main aim is to offer a coherent set  of probabilistic techniques and mathematical tools which can be used  for the simulation and analysis of various biological phenomena. These  tools are illustrated on a number of examples. For each example, the  biological background is described, and mathematical models are  developed following a unified set of principles. These models are then  analyzed and, finally, the biological implications of the mathematical  results are interpreted. The biological topics covered include gene  expression, biochemistry, cellular regulation, and cancer biology. The  book will be accessible to graduate students who have a strong  background in differential equations, the theory of nonlinear dynamical  systems, Markovian stochastic processes, and both discrete and  continuous state spaces, and who are familiar with the basic concepts of  probability theory