DOI: 10.18129/B9.bioc.IHW    

Independent Hypothesis Weighting

Bioconductor version: Release (3.6)

Independent hypothesis weighting (IHW) is a multiple testing procedure that increases power compared to the method of Benjamini and Hochberg by assigning data-driven weights to each hypothesis. The input to IHW is a two-column table of p-values and covariates. The covariate can be any continuous-valued or categorical variable that is thought to be informative on the statistical properties of each hypothesis test, while it is independent of the p-value under the null hypothesis.

Author: Nikos Ignatiadis [aut, cre], Wolfgang Huber [aut]

Maintainer: Nikos Ignatiadis <nikos.ignatiadis01 at gmail.com>

Citation (from within R, enter citation("IHW")):


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HTML R Script Introduction to IHW
PDF   Reference Manual


biocViews MultipleComparison, RNASeq, Software
Version 1.6.0
In Bioconductor since BioC 3.3 (R-3.3) (2 years)
License Artistic-2.0
Depends R (>= 3.3.0)
Imports methods, slam, lpsymphony, fdrtool, BiocGenerics
Suggests ggplot2, dplyr, gridExtra, scales, DESeq2, airway, testthat, Matrix, BiocStyle, knitr, rmarkdown, devtools
Depends On Me IHWpaper
Imports Me ideal
Suggests Me DESeq2
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Source Package IHW_1.6.0.tar.gz
Windows Binary IHW_1.6.0.zip
Mac OS X 10.11 (El Capitan) IHW_1.6.0.tgz
Source Repository git clone https://git.bioconductor.org/packages/IHW
Package Short Url http://bioconductor.org/packages/IHW/
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