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Background: The development of high-throughput technologies has produced several large scale protein interaction data sets for multiple species, and significant efforts have been ...
Background: The prediction of protein-protein binding site can provide structural annotation to the protein interaction data from proteomics studies. This is very important for th...
We have developed a method for the integrative analysis of protein interaction data. It comprises clustering, visualization and data integration components. The method is generall...
Matthias Fellenberg, Kaj Albermann, Alfred Zollner...
Abstract. Mapping intra-cellular signaling networks is a critical step in developing an understanding of and treatments for many devastating diseases. The predominant ways of disco...
Derek A. Ruths, Jen-Te Tseng, Luay Nakhleh, Prahla...
Abstract. Recent advances in high-throughput experimental techniques have enabled the production of a wealth of protein interaction data, rich in both quantity and variety. While t...
Allister Bernard, David S. Vaughn, Alexander J. Ha...
We present a method for identifying connected gene subnetworks significantly enriched for genes that are dysregulated in specimens of a disease. These subnetworks provide a signat...
Joint mining of multiple data sets can often discover interesting, novel, and reliable patterns which cannot be obtained solely from any single source. For example, in cross-marke...