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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
Immune System Modelling and Simulation
136
additional parameters, m
0
, A
0
, A to calculate the vector in
the following way: (i) fi rst, set Affi nity(m) = 0 for m < m
0
; this
provides a threshold level below which binding cannot occur;
(ii) set Affi nity(m
0
) to the parameter A
0
; (iii) set the increase of
strength on increasing a match by one bit to be the inverse of the
ratio of number of clones with match m + 1 and m multiplied by
A.
Affi nity (m – 1)
Affi nity (m)
= A .
(
NBIT
m
)
(
NBIT
)
m – 1
.
This defi nition allows setting the lower end value of
Affi nity(m) and the steepness of its increase, as the number
of matching bits is incremented (Figure 35). ...
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Publisher Resources

ISBN: 9781466597488