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A Comparative Study on Biological Networks: Mining biological networks for similar patterns through network alignment and analysis of network dynamics - Couverture souple

Ay, Ferhat

 
9783844394665: A Comparative Study on Biological Networks: Mining biological networks for similar patterns through network alignment and analysis of network dynamics
Couverture souple
ISBN 10 : 3844394664 ISBN 13 : 9783844394665
Editeur : LAP LAMBERT Academic Publishing, 2011

Synopsis

Biological networks encapsulate invaluable information about the roles of different entities and their interactions with each other. Analyzing these networks is essential to reveal evolutionary differences between different cells and organisms. An important type of analysis is the comparative analysis which aims at identifying functionally similar components of these networks. Analogous to sequence alignment which identifies sequence similarity, network alignment reveals similar connectivity patterns such as alternative paths and subnetworks. Additional to the comparative analysis, examining solely the topological structure led to discovery of the steady states and the modular organization that these networks exhibit. This book introduces (i) Alignment algorithms for metabolic networks that account for heterogeneous network elements, connected subnetwork mappings and the scalability problem; (ii) An algorithm that predicts functional similarity between reactions based on metabolic flux analysis; (iii) Efficient methods that identify steady states of Boolean regulatory networks; (iv) An algorithm that identifies dynamic modular structure of regulatory networks.

Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.

Présentation de l'éditeur

Biological networks encapsulate invaluable information about the roles of different entities and their interactions with each other. Analyzing these networks is essential to reveal evolutionary differences between different cells and organisms. An important type of analysis is the comparative analysis which aims at identifying functionally similar components of these networks. Analogous to sequence alignment which identifies sequence similarity, network alignment reveals similar connectivity patterns such as alternative paths and subnetworks. Additional to the comparative analysis, examining solely the topological structure led to discovery of the steady states and the modular organization that these networks exhibit. This book introduces (i) Alignment algorithms for metabolic networks that account for heterogeneous network elements, connected subnetwork mappings and the scalability problem; (ii) An algorithm that predicts functional similarity between reactions based on metabolic flux analysis; (iii) Efficient methods that identify steady states of Boolean regulatory networks; (iv) An algorithm that identifies dynamic modular structure of regulatory networks.

Biographie de l'auteur

Ferhat Ay received his PhD degree from Computer Science at University of Florida in 2011. He received his B.S. degrees from Computer Engineering and Mathematics both from Middle East Technical University (METU), Turkey in 2007. His research focuses on developing algorithms for alignment and topological analysis of various biological networks.

Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.

Éditeur
LAP LAMBERT Academic Publishing
Date d'édition
2011
Langue
anglais
ISBN 10 
3844394664
ISBN 13 
9783844394665
Reliure
Broché
Nombre de pages
216
Coordonnées du fabricant
non disponible
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