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].
Santo Fortunato & Giuseppe Mangioni
Complex Networks [PDF ebook]
Results of the 1st International Workshop on Complex Networks (CompleNet 2009)
Complex Networks [PDF ebook]
Results of the 1st International Workshop on Complex Networks (CompleNet 2009)
¡Compre este libro electrónico y obtenga 1 más GRATIS!
Idioma Inglés ● Formato PDF ● ISBN 9783642012068 ● Editor Santo Fortunato & Giuseppe Mangioni ● Editorial Springer Berlin Heidelberg ● Publicado 2009 ● Descargable 3 veces ● Divisa EUR ● ID 2170405 ● Protección de copia Adobe DRM
Requiere lector de ebook con capacidad DRM