A probabilistic functional network of yeast genes

Insuk Lee, Shailesh V. Date, Alex T. Adai, Edward M. Marcotte

Research output: Contribution to journalArticlepeer-review

553 Citations (Scopus)


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 (∼81%) of the known yeast genes linked by ∼34,000 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.

Original languageEnglish
Pages (from-to)1555-1558
Number of pages4
Issue number5701
Publication statusPublished - 2004 Nov 26

All Science Journal Classification (ASJC) codes

  • General


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