Traditionally, the law of mass action has been used to deterministically model chemical reactions. There are, however, fundamental limitations to this approach when the number of molecules involved in the reactions is small. This is often the case in biological cells, and many authors have reported that deterministic models do not adequately describe processes such as gene expression. This dissertation shows circumstances in which stochastic simulation describes non-linear reactions more accu...