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The Architecture of a Proteomic Network in the Yeast
Author(s) -
Emad Ramadan,
Christopher Osgood,
Alex Pothen
Publication year - 2005
Publication title -
lecture notes in computer science
Language(s) - English
Resource type - Book series
SCImago Journal Rank - 0.249
H-Index - 400
eISSN - 1611-3349
pISSN - 0302-9743
ISBN - 3-540-29104-0
DOI - 10.1007/11560500_24
Subject(s) - subnetwork , computer science , cluster analysis , interaction network , spectral clustering , graph , yeast , computational biology , theoretical computer science , clustering coefficient , data mining , artificial intelligence , biology , gene , genetics , computer network
We describe an approach to clustering the yeast protein-protein interaction network in order to identify functional modules, groups of proteins forming multi-protein complexes accomplishing various functions in the cell. We have developed a clustering method that accounts for the small-world nature of the network. The algorithm makes use of the concept of k-cores in a graph, and employs recursive spectral clustering to compute the functional modules. The computed clusters are annotated using their protein memberships into known multi-protein complexes in the yeast. We also dissect the protein interaction network into a global subnetwork of hub proteins (connected to several clusters), and a local network consisting of cluster proteins.

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