## Downloading:

## Features:

- This software takes a list of p-values resulting from the simultaneous testing of many hypotheses and estimates their q-values. A point-and-click interface is now available!
- The q-value of a test measures the proportion of false positives incurred (called the false discovery rate) when that particular test is called significant.
- A short tutorial on q-values and false discovery rates is provided with the manual.
- Various plots are automatically generated, allowing one to make sensible significance cut-offs.
- Several mathematical results have recently been shown on the conservative accuracy of the estimated q-values from this software.
- The software can be applied to problems in genomics, brain imaging, astrophysics, and data mining.

## References:

*Estimation Methodology:* Storey JD. (2002) A direct approach to false discovery rates. *Journal of the Royal Statistical Society, Series B*, **64**: 479-498. [PDF]
*Genomics:* Storey JD and Tibshirani R. (2003) Statistical significance for genome-wide studies. *Proceedings of the National Academy of Sciences*, **100**: 9440-9445. [PDF] [Supplementary Information]
*Bayesian Connections:* Storey JD. (2003) The positive false discovery rate: A Bayesian interpretation and the q-value. *Annals of Statistics*, **31**: 2013-2035. [PDF]
*Theory:* Storey JD, Taylor JE, and Siegmund D. (2004) Strong control, conservative point estimation, and simultaneous conservative consistency of false discovery rates: A unified approach. *Journal of the Royal Statistical Society, Series B*, **66**: 187-205. [PDF]

## Credits:

QVALUE was written by Alan Dabney and John Storey.

Copyright 2002-2008 by John D. Storey. All rights reserved.

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