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Complex Networks - Results of the 1st International Workshop on Complex Networks (CompleNet 2009) (Paperback, 2009 ed.)
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Complex Networks - Results of the 1st International Workshop on Complex Networks (CompleNet 2009) (Paperback, 2009 ed.)
Series: Studies in Computational Intelligence, 207
Expected to ship within 10 - 15 working days
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Though the reductionist approachto biology and medicine has led to
several imp- tant advances, further progresses with respect to the
remaining challenges require integration of representation,
characterization and modeling of the studied systems along a wide
range of spatial and time scales. Such an approach, intrinsically -
lated to systems biology, is poised to ultimately turning biology
into a more precise and synthetic discipline, paving the way to
extensive preventive and regenerative medicine [1], drug discovery
[20] and treatment optimization [24]. A particularly appealing and
effective approach to addressing the complexity of interactions
inherent to the biological systems is provided by the new area of
c- plex networks [34, 30, 8, 13, 12]. Basically, it is an extension
of graph theory [10], focusing on the modeling, representation,
characterization, analysis and simulation
ofcomplexsystemsbyconsideringmanyelementsandtheirinterconnections.C-
plex networks concepts and methods have been used to study disease
[17], tr- scription networks [5, 6, 4], protein-protein networks
[22, 36, 16, 39], metabolic networks [23] and anatomy [40].
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