From sets to graphs: towards a realistic enrichment analysis of transcriptomic systems
Author(s) -
Ludwig Geistlinger,
Gergely Csaba,
Robert Küffner,
Nicola Mulder,
Ralf Zimmer
Publication year - 2011
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/btr228
Subject(s) - set (abstract data type) , gene expression , gene , computational biology , biology , pairwise comparison , transcriptome , gene expression profiling , regulation of gene expression , expression (computer science) , concordance , consistency (knowledge bases) , correlation , gene regulatory network , genetics , computer science , mathematics , artificial intelligence , geometry , programming language
Current gene set enrichment approaches do not take interactions and associations between set members into account. Mutual activation and inhibition causing positive and negative correlation among set members are thus neglected. As a consequence, inconsistent regulations and contextless expression changes are reported and, thus, the biological interpretation of the result is impeded.
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