Coverage and error models of protein-protein interaction data by directed graph analysis

被引：0
作者：
Tony Chiang
Denise Scholtens
Deepayan Sarkar
Robert Gentleman
Wolfgang Huber
机构：
[1] Wellcome Trust Genome Campus,EMBL, European Bioinformatics Institute
[2] Fairview Avenue North,Fred Hutchinson Cancer Research Center, Computational Biology Group
[3] Northwestern University,Department of Preventive Medicine
来源：
Genome Biology | / 8卷
关键词：
Additional Data File; Protein Pair; Stochastic Error; Protein Interaction Data; Bait Protein;
D O I：
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摘要：
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.
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