Open AccessContextual analysis of RNAi-based functional screens using interaction networks
Author(s) -
Orland Gonzalez,
Ralf Zimmer
Publication year - 2011
Publication title -
bioinformatics
Language(s) - English
Resource type - Journals
eISSN - 1367-4811
pISSN - 1367-4803
DOI - 10.1093/bioinformatics/btr469
Subject(s) - computational biology , computer science , escrt , identification (biology) , rna interference , endosome , exploit , biology , cluster analysis , hierarchical clustering , artificial intelligence , gene , genetics , rna , cell , botany , computer security
Considerable attention has been directed in recent years toward the development of methods for the contextual analysis of expression data using interaction networks. Of particular interest has been the identification of active subnetworks by detecting regions enriched with differential expression. In contrast, however, very little effort has been made toward the application of comparable methods to other types of high-throughput data.
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