Matches in SemOpenAlex for { <https://semopenalex.org/work/W1552669063> ?p ?o ?g. }
- W1552669063 abstract "The abundant data available for protein interaction networks have not yet been fully understood. New types of analyses are needed to reveal organizational principles of these networks to investigate the details of functional and regulatory clusters of proteins.In the present work, individual clusters identified by an eigenmode analysis of the connectivity matrix of the protein-protein interaction network in yeast are investigated for possible functional relationships among the members of the cluster. With our functional clustering we have successfully predicted several new protein-protein interactions that indeed have been reported recently.Eigenmode analysis of the entire connectivity matrix yields both a global and a detailed view of the network. We have shown that the eigenmode clustering not only is guided by the number of proteins with which each protein interacts, but also leads to functional clustering that can be applied to predict new protein interactions." @default.
- W1552669063 created "2016-06-24" @default.
- W1552669063 creator A5022049098 @default.
- W1552669063 creator A5023494109 @default.
- W1552669063 creator A5086880109 @default.
- W1552669063 date "2006-07-24" @default.
- W1552669063 modified "2023-10-07" @default.
- W1552669063 title "Functional clustering of yeast proteins from the protein-protein interaction network" @default.
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- W1552669063 doi "https://doi.org/10.1186/1471-2105-7-355" @default.
- W1552669063 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/1557866" @default.
- W1552669063 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/16863590" @default.
- W1552669063 hasPublicationYear "2006" @default.
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