Recent developments in molecular biology have resulted in experimental data that entails the relationships and interactions between biomolecules. Biomolecular interaction data, generally referred to as biological or cellular networks, are frequently abstracted using graph models. In systems biology, comparative analysis of these networks provides understanding of functional modularity in the cell by integrating cellular organization, functional hierarchy, and evolutionary conservation. In this study, we address a number of algorithmic issues associated with comparative analysis of molecular interaction networks. We first discuss the problem of identifying common sub-networks in a collection of molecular interaction networks belonging to diverse species. With a view to understanding the conservation and divergence of functional modules, we also develop network alignment techniques, grounded in theoretical models of network evolution. Finally, we probabilistically analyze the existence of highly connected and conserved subgraphs in random graphs, in order to assess the statistical significance of the patterns identified by our algorithms.
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Mehmet Koyutürk received his M.S. degree in Computer Engineering (1998) and Ph.D. degree Computer Science (2006), respectively from Bilkent University and Purdue University. In 2007, he joined the Electrical Engineering & Computer Science Department of Case Western Reserve University as T. & D. Schroeder Assistant Professor.
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Seller: moluna, Greven, Germany
Kartoniert / Broschiert. Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Koyutuerk MehmetMehmet Koyutuerk received his M.S. degree in Computer Engineeringn(1998) and Ph.D. degree Computer Science (2006), respectivelynfrom Bilkent University and Purdue University. In 2007, henjoined the Electrical Engineeri. Seller Inventory # 4958355
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Seller: AHA-BUCH GmbH, Einbeck, Germany
Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Recent developments in molecular biology haveresulted in experimental data thatentails the relationships and interactions betweenbiomolecules. Biomolecular interactiondata, generally referred to as biological or cellularnetworks, are frequentlyabstracted using graph models. In systems biology,comparative analysis of thesenetworks provides understanding of functionalmodularity in the cell by integratingcellular organization, functional hierarchy, andevolutionary conservation. In thisstudy, we address a number of algorithmic issuesassociated with comparativeanalysis of molecular interaction networks. We firstdiscuss the problem of identifying commonsub-networks in a collection of molecular interactionnetworks belonging to diverse species. With a view tounderstanding the conservation and divergence offunctional modules,we also develop network alignment techniques,grounded in theoretical models of network evolution.Finally, we probabilistically analyze the existenceof highly connected and conserved subgraphsin random graphs, in order to assess the statisticalsignificance of the patterns identified by ouralgorithms. Seller Inventory # 9783639110357
Seller: preigu, Osnabrück, Germany
Taschenbuch. Condition: Neu. Comparative Analysis of Biological Networks | Algorithmic and Analytical Methods for Cross-Species Analysis of Biomolecular Interactions | Mehmet Koyutürk | Taschenbuch | Englisch | VDM Verlag Dr. Müller | EAN 9783639110357 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. Seller Inventory # 101677299