QVALITY: non-parametric estimation of q-values and posterior error probabilities

Käll, Lukas,1969-Stockholms universitet,Institutionen för biokemi och biofysik (author)

QVALITY : non-parametric estimation of q-values and posterior error probabilities

QC 20111124
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.

Storey, John D. (author)
Noble, William Stafford (author)
Stockholms universitetInstitutionen för biokemi och biofysik (creator_code:org_t)

In:Bioinformatics: Oxford University Press (OUP)25:7, s. 964-9661367-48031367-4811

By the author/editor: Käll, Lukas, 196 ...; Storey, John D.; Noble, William S ...

About the subject

NATURAL SCIENCES: NATURAL SCIENCES; and Computer and Inf ...; and Bioinformatics

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