Identifying functional modules using expression profiles and confidence-scored protein interactions | Zendy

Igor Ulitsky | Zendy; Ron Shamir | Zendy

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Identifying functional modules using expression profiles and confidence-scored protein interactions

Author(s) -

Igor Ulitsky,

Ron Shamir

Publication year - 2009

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/btp118

Subject(s) - expression (computer science) , weighting , computer science , probabilistic logic , artificial intelligence , data mining , computational biology , machine learning , biology , medicine , radiology , programming language

Microarray-based gene expression studies have great potential but are frequently difficult to interpret due to their overwhelming dimensions. Recent studies have shown that the analysis of expression data can be improved by its integration with protein interaction networks, but the performance of these analyses has been hampered by the uneven quality of the interaction data.

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