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A probabilistic functional network of yeast genes (2004)
| Venue: | Science |
| Citations: | 207 - 13 self |
BibTeX
@ARTICLE{Lee04aprobabilistic,
author = {Insuk Lee and Shailesh V. Date and Alex T. Adai and Edward M. Marcotte},
title = {A probabilistic functional network of yeast genes},
journal = {Science},
year = {2004},
pages = {1555--1558}
}
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Abstract
A conceptual framework for integrating diverse functional genomics data was developed by reinterpreting experiments to provide numerical likelihoods that genes are functionally linked. This allows direct comparison and integration of different classes of data. The resulting probabilistic gene network estimates the functional coupling between genes. Within this framework, we reconstructed an extensive, high-quality functional gene network for Saccharomyces cerevisiae, consisting of 4681 (È81%) of the known yeast genes linked by È34,000 probabilistic linkages comparable in accuracy to small-scale interaction assays. The integrated linkages distinguish true from false-positive interactions in earlier data sets; new interactions emerge from genes ’ network contexts, as shown for genes in chromatin modification and ribosome biogenesis. Knowledge of the correct overall structures of gene networks will be invaluable for characterizing the complex roles of individual
Keyphrases
yeast gene probabilistic functional network different class data set new interaction complex role false-positive interaction chromatin modification saccharomyces cerevisiae probabilistic gene network correct overall structure conceptual framework functional coupling diverse functional genomics data numerical likelihood direct comparison gene network context integrated linkage ribosome biogenesis gene network high-quality functional gene network probabilistic linkage small-scale interaction assay
