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

Tony Chiang*, Denise Scholtens, Deepayan Sarkar, Robert Gentleman, Wolfgang Huber

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

34 Scopus citations

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.

Original languageEnglish (US)
Article numberR186
JournalGenome biology
Volume8
Issue number9
DOIs
StatePublished - Sep 10 2007

ASJC Scopus subject areas

  • Ecology, Evolution, Behavior and Systematics
  • Genetics
  • Cell Biology

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