A probabilistic functional network of yeast genes

Science. 2004 Nov 26;306(5701):1555-8. doi: 10.1126/science.1099511.


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 (approximately 81%) of the known yeast genes linked by approximately 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.

Publication types

  • Research Support, Non-U.S. Gov't
  • Research Support, U.S. Gov't, Non-P.H.S.
  • Research Support, U.S. Gov't, P.H.S.

MeSH terms

  • Bayes Theorem
  • Chromatin / metabolism
  • Computational Biology
  • DEAD-box RNA Helicases
  • DNA Damage
  • DNA Repair
  • Genes, Fungal / physiology*
  • Genomics*
  • Likelihood Functions
  • Multigene Family
  • Oligonucleotide Array Sequence Analysis
  • Phylogeny
  • Probability
  • Protein Interaction Mapping
  • RNA Helicases / physiology
  • Ribosomes / metabolism
  • Saccharomyces cerevisiae / genetics*
  • Saccharomyces cerevisiae / physiology*
  • Saccharomyces cerevisiae Proteins / physiology*


  • Chromatin
  • Saccharomyces cerevisiae Proteins
  • PRP43 protein, S cerevisiae
  • DEAD-box RNA Helicases
  • RNA Helicases