DOI: 10.18129/B9.bioc.IHW    

This is the development version of IHW; for the stable release version, see IHW.

Independent Hypothesis Weighting

Bioconductor version: Development (3.7)

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 1.7.0
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 BloodCancerMultiOmics2017, DESeq2, SummarizedBenchmark
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Source Package IHW_1.7.0.tar.gz
Windows Binary IHW_1.7.0.zip
Mac OS X 10.11 (El Capitan) IHW_1.7.0.tgz
Source Repository git clone https://git.bioconductor.org/packages/IHW
Package Short Url http://bioconductor.org/packages/IHW/
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