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Immune System Modelling and Simulation
book

Immune System Modelling and Simulation

by Filippo Castiglione, Franco Celada
April 2015
Intermediate to advanced content levelIntermediate to advanced
286 pages
7h 23m
English
CRC Press
Content preview from Immune System Modelling and Simulation
121
(S(e
1
), S(e
2
)) = I(S(e
1
), S(e
2
))
to indicate the fact that the transition is determined solely by
the state of the entities, or in other words, that the fate of a
cell depends upon what it actually is (i.e., the activation state
or maturation stage). Mathematicians would call this cellular
dynamics a Markov process.
3.2.1 Entity-state Description
The model entities are either cells or molecules. From the point
of view of a computer programmer, the former need to be
represented by a much more sophisticated data structure because
of their inherent higher complexity. In particular, cells have an
internal dynamics, which translates as a variable to store the
internal state, one for each instance. Moreover, each lymphocyte
is equipped with a receptor ...
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Publisher Resources

ISBN: 9781466597488