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- Title
Revealing modular organization in the yeast transcriptional network.
- Authors
Ihmels, Jan; Friedlander, Gilgi; Bergmann, Sven; Sarig, Ofer; Ziv, Yaniv; Barkai, Naama
- Abstract
Standard clustering methods can classify genes successfully when applied to relatively small data sets, but have limited use in the analysis of large-scale expression data, mainly owing to their assignment of a gene to a single cluster. Here we propose an alternative method for the global analysis of genome-wide expression data. Our approach assigns genes to context-dependent and potentially overlapping 'transcription modules', thus overcoming the main limitations of traditional clustering methods. We use our method to elucidate regulatory properties of cellular pathways and to characterize cis-regulatory elements. By applying our algorithm systematically to all of the available expression data on Saccharomyces cerevisiae, we identify a comprehensive set of overlapping transcriptional modules. Our results provide functional predictions for numerous genes, identify relations between modules and present a global view on the transcriptional network.
- Publication
Nature genetics, 2002, Vol 31, Issue 4, p370
- ISSN
1061-4036
- Publication type
Journal Article
- DOI
10.1038/ng941