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Tuyển tập các báo cáo nghiên cứu về y học được đăng trên tạp chí y học Critical Care giúp cho các bạn có thêm kiến thức về ngành y học đề tài: Coverage and error models of protein-protein interaction data by directed graph analysis. | Open Access Method Coverage and error models of protein-protein interaction data by directed graph analysis Tony Chiang Denise Scholtens Deepayan Sarkar Robert Gentleman and Wolfgang Huber Addresses EMBL European Bioinformatics Institute Wellcome Trust Genome Campus Hinxton Cambridge CB10 1SD UK. Fred Hutchinson Cancer Research Center Computational Biology Group Fairview Avenue North Seattle WA 98109-1024 USA. Northwestern University Department of Preventive Medicine N Lake Shore Drive Chicago IL 60611-4402 USA. Correspondence Tony Chiang. Email tchiang@ebi.ac.uk Published 10 September 2007 Genome Biology 2007 8 R186 doi 10.1186 gb-2007-8-9-r1 86 The electronic version of this article is the complete one and can be found online at http genomebiology.com 2007 8 9 R186 Received 12 March 2007 Revised 26 May 2007 Accepted l0 September 2007 2007 Chiang et al. licensee BioMed Central Ltd. This is an open access article distributed under the terms of the Creative Commons Attribution License http creativecommons.org licenses by 2.0 which permits unrestricted use distribution and reproduction in any medium provided the original work is properly cited. Abstract Using a directed graph model for bait to prey systems and a multinomial error model we assessed the error statistics in all published large-scale datasets for Saccharomyces cerevisiae and characterized them by three traits the set of tested interactions artifacts that lead to false-positive or false-negative observations and estimates of the stochastic error rates that affect the data. These traits provide a prerequisite for the estimation of the protein interactome and its modules. Background Within the past decade a large amount of data on protein-protein interactions in cellular systems has been obtained by the high-throughput scaling of technologies such as the yeast two-hybrid Y2H system and affinity purification-mass spectrometry AP-MS 1-15 . This opens the possibility for molecular and computational biologists
