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Feedback Control in Systems Biology
book

Feedback Control in Systems Biology

by Carlo Cosentino, Declan Bates
October 2011
Intermediate to advanced content levelIntermediate to advanced
296 pages
9h 39m
English
CRC Press
Content preview from Feedback Control in Systems Biology
246 Feedback Control in Systems Biology
where
p
(k)
j
=
K
(k)
j
n
P
l=1
K
(k)
l
(7.46)
is the probability of inserting a new edge starting from node j and K
(k)
l
is the number of outgoing connections from the l-th node at the k-th
iteration. The µ(k) edges with the largest scores in
˜
G
(k)
are selected
and added to the network; µ(·) is chosen as a decreasing function of k,
that is µ(k) = n/k. T hus, the network grows rapidly at the begin-
ning and is subsequently refined by adding smaller numbers of nodes at
each iteration. The form of the function p(·) stems from the so-called
preferential attachment (PA) mechanism, which states that in a growing
network new edges
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Publisher Resources

ISBN: 9781439816912