A Probabilistic Functional Network of Yeast Genes
The University of Texas at Austin
Indexed incrossrefpubmed
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 (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…
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4Topics & keywords
Topics
Keywords
- Probabilistic logic
- Computational biology
- Gene
- Functional genomics
- Gene regulatory network
- Ribosome biogenesis
- Biology
- Genetics
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