Qvality: Non-parametric estimation of q-values and posterior error probabilities

Lukas Käll, John D. Storey, William Stafford Noble

Research output: Contribution to journalArticle

72 Scopus citations

Abstract

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.

Original languageEnglish (US)
Pages (from-to)964-966
Number of pages3
JournalBioinformatics
Volume25
Issue number7
DOIs
StatePublished - 2009

All Science Journal Classification (ASJC) codes

  • Statistics and Probability
  • Biochemistry
  • Molecular Biology
  • Computer Science Applications
  • Computational Theory and Mathematics
  • Computational Mathematics

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