qvalue

Q-value estimation for false discovery rate control

Bioconductor version: Release (2.7)

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:///biocLite.R")
biocLite("qvalue")    

Documentation

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

Reference Manual

Details

biocViews	MultipleComparisons
Depends
Imports	graphics, grDevices, stats, tcltk
Suggests
System Requirements
License	LGPL
URL
Depends On Me	DEGseq, PatientGeneSets, SSPA, webbioc
Imports Me	webbioc
Suggests Me	LBE, maanova
Version	1.24.0

Package Downloads

Package Source	qvalue_1.24.0.tar.gz
Windows Binary	qvalue_1.24.0.zip (32- & 64-bit)
MacOS 10.5 (Leopard) binary	qvalue_1.24.0.tgz
Package Downloads Report	Download Stats