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

@article{Chiang2007CoverageAE,
  title={Coverage and error models of protein-protein interaction data by directed graph analysis},
  author={Tony Chiang and Denise Scholtens and Deepayan Sarkar and Robert Gentleman and Wolfgang Huber},
  journal={Genome Biology},
  year={2007},
  volume={8},
  pages={R186 - R186}
}
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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