Assessing and combining reliability of protein interaction sources. Export

@article{citeulike:2052386, abstract = {Integrating diverse sources of interaction information to create protein networks requires strategies sensitive to differences in accuracy and coverage of each source. Previous integration approaches calculate reliabilities of protein interaction information sources based on congruity to a designated 'gold standard.' In this paper, we provide a comparison of the two most popular existing approaches and propose a novel alternative for assessing reliabilities which does not require a gold standard. We identify a new method for combining the resultant reliabilities and compare it against an existing method. Further, we propose an extrinsic approach to evaluation of reliability estimates, considering their influence on the downstream tasks of inferring protein function and learning regulatory networks from expression data. Results using this evaluation method show 1) our method for reliability estimation is an attractive alternative to those requiring a gold standard and 2) the new method for combining reliabilities is less sensitive to noise in reliability assignments than the similar existing technique.}, address = {University of Colorado at Denver, Health Sciences Center, Aurora, CO 80045, USA. Sonia.Leach@uchsc.edu}, author = {Leach, Sonia and Gabow, Aaron and Hunter, Lawrence and Goldberg, Debra S.}, citeulike-article-id = {2052386}, citeulike-linkout-0 = {http://view.ncbi.nlm.nih.gov/pubmed/17990508}, citeulike-linkout-1 = {http://www.hubmed.org/display.cgi?uids=17990508}, issn = {1793-5091}, journal = {Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing}, keywords = {ppi, reliability}, pages = {433--444}, posted-at = {2009-06-28 09:42:54}, priority = {4}, title = {Assessing and combining reliability of protein interaction sources.}, url = {http://view.ncbi.nlm.nih.gov/pubmed/17990508}, year = {2007} }

TY - JOUR ID - citeulike:2052386 L3 - citeulike-article-id:2052386 N2 - Integrating diverse sources of interaction information to create protein networks requires strategies sensitive to differences in accuracy and coverage of each source. Previous integration approaches calculate reliabilities of protein interaction information sources based on congruity to a designated 'gold standard.' In this paper, we provide a comparison of the two most popular existing approaches and propose a novel alternative for assessing reliabilities which does not require a gold standard. We identify a new method for combining the resultant reliabilities and compare it against an existing method. Further, we propose an extrinsic approach to evaluation of reliability estimates, considering their influence on the downstream tasks of inferring protein function and learning regulatory networks from expression data. Results using this evaluation method show 1) our method for reliability estimation is an attractive alternative to those requiring a gold standard and 2) the new method for combining reliabilities is less sensitive to noise in reliability assignments than the similar existing technique. JF - Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing SN - 1793-5091 AD - University of Colorado at Denver, Health Sciences Center, Aurora, CO 80045, USA. Sonia.Leach@uchsc.edu EP - 444 TI - Assessing and combining reliability of protein interaction sources. SP - 433 KW - ppi KW - reliability AU - Leach, Sonia AU - Gabow, Aaron AU - Hunter, Lawrence AU - Goldberg, Debra PY - 2007/// UR - http://view.ncbi.nlm.nih.gov/pubmed/17990508 ER -