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ABSTRACT: Background
Protein-protein interaction networks are key to a systems-level understanding of cellular biology. However, interaction data can contain a considerable fraction of false positives. Several methods have been proposed to assess the confidence of individual interactions. Most of them require the integration of additional data like protein expression and interaction homology information. While being certainly useful, such additional data are not always available and may introduce additional bias and ambiguity.Results
We propose a novel, network topology based interaction confidence assessment method called CAPPIC (cluster-based assessment of protein-protein interaction confidence). It exploits the network's inherent modular architecture for assessing the confidence o
SUBMITTER: Kamburov A
PROVIDER: S-EPMC3532186 | biostudies-literature | 2012 Oct
REPOSITORIES: biostudies-literature