Studies in Computational Intelligence: Results of the 1st International Workshop on Complex Networks (CompleNet 2009)

Menezes, Ronaldo; Fortunato, Santo; Mangioni, Giuseppe; Nicosia, Vincenzo

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].

Details

Published by: Springer

Publication Date: 2012-03-14

Format: Paperback

ISBN-13: 9783642269318

DOI: 10.1007/978-3-642-01206-8

Dimensions: 235cm x155cm

Pages: 225