Correlation between gene expression profiles and protein-protein interactions within and across genomes
Author(s) -
Nina Bhardwaj,
Hui Lü
Publication year - 2005
Publication title -
bioinformatics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.599
H-Index - 390
eISSN - 1367-4811
pISSN - 1367-4803
DOI - 10.1093/bioinformatics/bti398
Subject(s) - biology , genome , gene , correlation , computational biology , function (biology) , gene expression , expression (computer science) , genetics , protein–protein interaction , annotation , protein expression , computer science , geometry , mathematics , programming language
Function annotation of an unclassified protein on the basis of its interaction partners is well documented in the literature. Reliable predictions of interactions from other data sources such as gene expression measurements would provide a useful route to function annotation. We investigate the global relationship of protein-protein interactions with gene expression. This relationship is studied in four evolutionarily diverse species, for which substantial information regarding their interactions and expression is available: human, mouse, yeast and Escherichia coli.
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