Whole new areas of immunological research are emerging from the
analysis of experimental data, going beyond statistics and
parameter estimation into what an applied mathematician would
recognise as modelling of dynamical systems. Stochastic methods are
increasingly important, because stochastic models are closer to the
Brownian reality of the cellular and sub-cellular world.
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