Journal
BIOINFORMATICS
Volume 25, Issue 7, Pages 964-966Publisher
OXFORD UNIV PRESS
DOI: 10.1093/bioinformatics/btp021
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Funding
- NIH [R01 EB007057, P41 RR11823]
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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.
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