2011-04-13T02:48:04-07:00 Resource:qvality - Nonparametric estimation of posterior error probabilities curated http://noble.gs.washington.edu/proj/qvality/ 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. nlx_32652 Resource:qvality - Nonparametric estimation of posterior error probabilities 2011-04-13T00:00:00 19193729 qvality Synonym PMID ModifiedDate Label University of Washington; Washington; USA Is part of Id Binary executable Source code Computation service resource Software resource Has role Definition DefiningCitation CurationStatus