A probabilistic functional network of yeast genes.

by: I Lee, SV Date, AT Adai, EM Marcotte

Science, Vol. 306, No. 5701. (26 November 2004), pp. 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 (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.

@article{citeulike:134628, 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 interactions in earlier data sets; new interactions emerge from genes' network contexts, as shown for genes in chromatin modification and ribosome biogenesis.}, address = {Center for Systems and Synthetic Biology, Institute for Molecular Biology, University of Texas at Austin, Austin, TX 78712-1064, USA.}, author = {Lee, I. and Date, S. V. and Adai, A. T. and Marcotte, E. M. }, citeulike-article-id = {134628}, doi = {http://dx.doi.org/10.1126/science.1099511}, issn = {1095-9203}, journal = {Science}, keywords = {ppi}, month = {November}, number = {5701}, pages = {1555--1558}, posted-at = {2008-07-01 03:40:43}, priority = {2}, title = {A probabilistic functional network of yeast genes.}, url = {http://dx.doi.org/10.1126/science.1099511}, volume = {306}, year = {2004} }

RIS record

TY - JOUR ID - citeulike:134628 L3 - citeulike-article-id:134628 TI - A probabilistic functional network of yeast genes. JF - Science VL - 306 IS - 5701 SP - 1555 EP - 1558 AD - Center for Systems and Synthetic Biology, Institute for Molecular Biology, University of Texas at Austin, Austin, TX 78712-1064, USA. SN - 1095-9203 N2 - 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. KW - ppi AU - Lee, I AU - Date, SV AU - Adai, AT AU - Marcotte, EM PY - 2004/11/26/ UR - http://dx.doi.org/10.1126/science.1099511 ER -

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