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qvality - Nonparametric estimation of posterior error probabilities (RRID:SCR_004309)Copy Citation Copied
URL: http://noble.gs.washington.edu/proj/qvality/
Proper Citation: qvality - Nonparametric estimation of posterior error probabilities (RRID:SCR_004309)
Description: qvality estimates q-values and posterior error probabilities directly from score distributions. The method can be accessed via a web interface or downloaded as stand-alone software (C++ source code and binaries are available under MIT license). The qvality web server allows you to use qvality to compute posterior error probability and q-values for your data. There are two input modes: *Input the empirical score distribution and a corresponding null score distribution. The two inputs do not have to contain the same numbers of scores. *Input only the empirical p-value distribution. In this case, you must use p-values rather than raw scores. In either mode, the output is the same: a three-column file in which the first column contains sorted observed scores, the second column contains estimated q-values, and the third column contains estimated posterior error probabilities. 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.
Synonyms: qvality
Resource Type: binary executable, source code, software resource, computation service resource
Defining Citation: PMID:19193729
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