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» Comparison of Centralities for Biological Networks
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ICANN
2010
Springer
15 years 4 days ago
Unsupervised Learning of Relations
Learning processes allow the central nervous system to learn relationships between stimuli. Even stimuli from different modalities can easily be associated, and these associations ...
Matthew Cook, Florian Jug, Christoph Krautz, Angel...
BIOINFORMATICS
2008
172views more  BIOINFORMATICS 2008»
14 years 11 months ago
Fitting a geometric graph to a protein-protein interaction network
Motivation: Finding a good network null model for protein-protein interaction (PPI) networks is a fundamental issue. Such a model would provide insights into the interplay between...
Desmond J. Higham, Marija Rasajski, Natasa Przulj
CDC
2008
IEEE
125views Control Systems» more  CDC 2008»
15 years 5 months ago
Dynamical structure analysis of sparsity and minimality heuristics for reconstruction of biochemical networks
— Network reconstruction, i.e. obtaining network structure from input-output information, is a central theme in systems biology. A variety of approaches aim to obtaining structur...
Russell Howes, Lee John Eccleston, Jorge M. Goncal...
CN
2010
120views more  CN 2010»
14 years 11 months ago
A survey on bio-inspired networking
The developments in the communication and networking technologies have yielded many existing and envisioned information network architectures such as cognitive radio networks, sen...
Falko Dressler, Özgür B. Akan
PET
2007
Springer
15 years 5 months ago
Anonymity in the Wild: Mixes on Unstructured Networks
Abstract. As decentralized computing scenarios get ever more popular, unstructured topologies are natural candidates to consider running mix networks upon. We consider mix network ...
Shishir Nagaraja