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» Connectivity graphs as models of local interactions
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RECOMB
2004
Springer
14 years 5 months ago
A random graph approach to NMR sequential assignment
Nuclear magnetic resonance (NMR) spectroscopy allows scientists to study protein structure, dynamics and interactions in solution. A necessary first step for such applications is ...
Chris Bailey-Kellogg, Sheetal Chainraj, Gopal Pand...
BMCBI
2010
142views more  BMCBI 2010»
13 years 5 months ago
Discover Protein Complexes in Protein-Protein Interaction Networks Using Parametric Local Modularity
Background: Recent advances in proteomic technologies have enabled us to create detailed protein-protein interaction maps in multiple species and in both normal and diseased cells...
Jongkwang Kim, Kai Tan
IDEAL
2007
Springer
13 years 11 months ago
PINCoC : A Co-clustering Based Approach to Analyze Protein-Protein Interaction Networks
A novel technique to search for functional modules in a protein-protein interaction network is presented. The network is represented by the adjacency matrix associated with the und...
Clara Pizzuti, Simona E. Rombo
CONNECTION
2006
101views more  CONNECTION 2006»
13 years 5 months ago
High capacity, small world associative memory models
Models of associative memory usually have full connectivity or if diluted, random symmetric connectivity. In contrast, biological neural systems have predominantly local, non-symm...
Neil Davey, Lee Calcraft, Rod Adams
CORR
2008
Springer
149views Education» more  CORR 2008»
13 years 5 months ago
Phase Transitions on Fixed Connected Graphs and Random Graphs in the Presence of Noise
In this paper, we study phase transition behavior emerging from the interactions among multiple agents in the presence of noise. We propose a simple discrete-time model in which a...
Jialing Liu, Vikas Yadav, Hullas Sehgal, Joshua M....