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


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.

SUBMITTER: Chiang T 

PROVIDER: S-EPMC2375024 | biostudies-literature | 2007

REPOSITORIES: biostudies-literature

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

Chiang Tony T   Scholtens Denise D   Sarkar Deepayan D   Gentleman Robert R   Huber Wolfgang W  

Genome biology 20070101 9


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. ...[more]

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