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• W2153161570 abstract "High-throughput methods for detecting protein-protein interactions (PPl) have given researchers an initial global picture of protein interactions on a genomic scale. The usefulness of this understanding is, however, typically compromised by noisy data. The effective way of integrating and using these non-congruent data sets has received little attention to date. This paper proposes a model to integrate different data sets. We construct this model using our prior knowledge of data set reliability. Based on this model, we propose a topological measurement to select reliable interactions and to quantify the similarity between two proteins' interaction profiles. Our measurement exploits the small-world network topological properties of protein interaction network. Meanwhile, we discovered some additional properties of the network. We show that our measurement can be used to find reliable interactions with improved performance and to find protein pairs with higher function homogeneity." @default.
• W2153161570 created "2016-06-24" @default.
• W2153161570 creator A5024977396 @default.
• W2153161570 creator A5052507774 @default.
• W2153161570 date "2005-01-01" @default.
• W2153161570 modified "2023-09-28" @default.
• W2153161570 title "A topological measurement for weighted protein interaction network" @default.
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• W2153161570 doi "https://doi.org/10.1109/csb.2005.8" @default.
• W2153161570 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/16447984" @default.
• W2153161570 hasPublicationYear "2005" @default.
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