Sie haben keine Artikel im Warenkorb.

Complex Networks von Ronaldo (Hrsg.) Menezes

Results of the 1st International Workshop on Complex Networks (CompleNet 2009)
CHF 151.20
ISBN: 978-3-642-26931-8
GTIN: 9783642269318
Einband: Kartonierter Einband (Kt)
Verfügbarkeit: Lieferbar in ca. 20-45 Arbeitstagen
+ -
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].
*
*
*
*
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].
Autor Menezes, Ronaldo (Hrsg.) / Fortunato, Santo (Hrsg.) / Mangioni, Giuseppe (Hrsg.) / Nicosia, Vincenzo (Hrsg.)
Verlag Springer Nature EN
Einband Kartonierter Einband (Kt)
Erscheinungsjahr 2012
Seitenangabe 225 S.
Lieferstatus Lieferbar in ca. 20-45 Arbeitstagen
Ausgabekennzeichen Englisch
Abbildungen Previously published in hardcover; XVII, 225 p.
Masse H23.5 cm x B15.5 cm 379 g
Coverlag Springer (Imprint/Brand)
Reihe Studies in Computational Intelligence

Weitere Titel von Ronaldo (Hrsg.) Menezes

Alle Bände der Reihe "Studies in Computational Intelligence"