title: Making the most of high-throughput protein-interaction data.
abstract: We review the estimation of coverage and error rate in high-throughput protein-protein interaction datasets and argue that reports of the low quality of such data are to a substantial extent based on misinterpretations. Probabilistic statistical models and methods can be used to estimate properties of interest and to make the best use of the available data.
authors.affiliation: Fred Hutchinson Cancer Research Center, Seattle, WA 98109, USA. rgentlem@fhcrc.org
authors.forename: Robert
authors.initials: R
authors.lastname: Gentleman
authors.forename: Wolfgang
authors.initials: W
authors.lastname: Huber
mesh_terms: D030562:Databases, Protein; D013058:Mass Spectrometry; D015233:Models, Statistical; D011485:Protein Binding; D011506:Proteins / Q000378:metabolism*; D012107:Research Design; D020798:Two-Hybrid System Techniques
chemical_list: D011506:Proteins