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QVALITY: non-parametric estimation of q-values and posterior error probabilities
(Center for Biomembrane Research, Department of Biochemistry and Biophysics, Stockholm University; Department of Genome Sciences, University of Washington, Seattle)ORCID iD: 0000-0001-5689-9797
2009 (English)In: Bioinformatics, ISSN 1367-4803, E-ISSN 1367-4811, Vol. 25, no 7, 964-966 p.Article in journal (Refereed) Published
Abstract [en]

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.

Place, publisher, year, edition, pages
2009. Vol. 25, no 7, 964-966 p.
National Category
Bioinformatics (Computational Biology)
Identifiers
URN: urn:nbn:se:kth:diva-48846DOI: 10.1093/bioinformatics/btp021ISI: 000264651800022PubMedID: 19193729OAI: oai:DiVA.org:kth-48846DiVA: diva2:458757
Note
QC 20111124Available from: 2011-11-23 Created: 2011-11-23 Last updated: 2017-12-08Bibliographically approved

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Käll, Lukas

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