A software tool for network topology analysis under a metabolic engineering perspective
Proceedings of the First ACM International Conference on Bioinformatics and Computational Biology
Parameter Estimation Using Metaheuristics in Systems Biology: A Comprehensive Review
IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB)
Spectral clustering for detecting protein complexes in protein-protein interaction (PPI) networks
Mathematical and Computer Modelling: An International Journal
Knowledge-Guided identification of petri net models of large biological systems
ILP'11 Proceedings of the 21st international conference on Inductive Logic Programming
On computing the diameter of real-world directed (weighted) graphs
SEA'12 Proceedings of the 11th international conference on Experimental Algorithms
An analysis of correlative and static causality in p systems
CMC'12 Proceedings of the 13th international conference on Membrane Computing
Measuring Topological Robustness of Networks under Sustained Targeted Attacks
ASONAM '12 Proceedings of the 2012 International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2012)
Stochastic agent-based simulations of social networks
Proceedings of the 46th Annual Simulation Symposium
Standard deviations of degree differences as indicators of mixing patterns in complex networks
Proceedings of the 2013 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining
Proceedings of the International Conference on Bioinformatics, Computational Biology and Biomedical Informatics
A GPU-based method for computing eigenvector centrality of gene-expression networks
AusPDC '13 Proceedings of the Eleventh Australasian Symposium on Parallel and Distributed Computing - Volume 140
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An introduction to biological networks and methods for their analysis Analysis of Biological Networks is the first book of its kind to provide readers with a comprehensive introduction to the structural analysis of biological networks at the interface of biology and computer science. The book begins with a brief overview of biological networks and graph theory/graph algorithms and goes on to explore: global network properties, network centralities, network motifs, network clustering, Petri nets, signal transduction and gene regulation networks, protein interaction networks, metabolic networks, phylogenetic networks, ecological networks, and correlation networks. Analysis of Biological Networks is a self-contained introduction to this important research topic, assumes no expert knowledge in computer science or biology, and is accessible to professionals and students alike. Each chapter concludes with a summary of main points and with exercises for readers to test their understanding of the material presented. Additionally, an FTP site with links to author-provided data for the book is available for deeper study. This book is suitable as a resource for researchers in computer science, biology, bioinformatics, advanced biochemistry, and the life sciences, and also serves as an ideal reference text for graduate-level courses in bioinformatics and biological research.