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QVALITY: non-parametric estimation of q-values and posterior error probabilities.
Stockholm University, Faculty of Science, Department of Biochemistry and Biophysics.
2009 (English)In: Bioinformatics (Oxford, England), ISSN 1367-4811, Vol. 25, no 7, 964-6 p.Article in journal (Refereed) Published
Abstract [en]

SUMMARY: Qvality is a C++ program for estimating two types of standard statistical confidence measures: the q-value, which is an analog of the p-value that incorporates multiple testing correction, and the posterior error probability (PEP, also known as the local false discovery rate), which corresponds to the probability that a given observation is drawn from the null distribution. In computing q-values, qvality employs a standard bootstrap procedure to estimate the prior probability of a score being from the null distribution; for PEP estimation, qvality relies upon non-parametric logistic regression. Relative to other tools for estimating statistical confidence measures, qvality is unique in its ability to estimate both types of scores directly from a null distribution, without requiring the user to calculate p-values. AVAILABILITY: A web server, C++ source code and binaries are available under MIT license at http://noble.gs.washington.edu/proj/qvality. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.

Place, publisher, year, edition, pages
2009. Vol. 25, no 7, 964-6 p.
Identifiers
URN: urn:nbn:se:su:diva-34714DOI: 10.1093/bioinformatics/btp021ISI: 000264651800022PubMedID: 19193729OAI: oai:DiVA.org:su-34714DiVA: diva2:285338
Available from: 2010-01-11 Created: 2010-01-11 Last updated: 2010-11-26Bibliographically approved

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