3.1.1 Sample spaces, events, and sets
The models and representations considered in the previous chapter provide a framework for thinking about the state of a biochemical network, the reactions that can take place, and the change in state that occurs as a result of particular chemical reactions. As yet, however, little has been said about which reactions are likely to occur or when. The state of a biochemical network evolves continuously through time with discrete changes in state occurring as the result of reaction events. These reaction events are random, governed by probabilistic laws. It is therefore necessary to have a fairly good background in probability theory in order to properly understand ...
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