qvalue

Q-value estimation for false discovery rate control

This package takes a list of p-values resulting from the simultaneous testing of many hypotheses and estimates their q-values. 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. 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.

Author Alan Dabney and John D. Storey , with assistance from Gregory R. Warnes
Maintainer John D. Storey

To install this package, start R and enter:

    source("http://bioconductor.org/biocLite.R")
    biocLite("qvalue")

Documentation

manual.pdf PDF
pHist.pdf PDF
qHist.pdf PDF
qPlots.pdf PDF
qvalue-002.pdf PDF
qvalue-004.pdf PDF
qvalue-006.pdf PDF
qvalue Tutorial PDF R Script
Reference Manual

Details

biocViews
Depends
tcltk
Imports
Suggests
System Requirements
License LGPL
URL
Depends On Me
Imports Me
Suggests Me
Development History Bioconductor Changelog

Package Downloads

Package source qvalue_1.18.0.tar.gz
Windows binary qvalue_1.18.0.zip
MacOS X 10.4 (Tiger) binary qvalue_1.18.0.tgz
MacOS X 10.5 (Leopard) binary qvalue_1.18.0.tgz
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