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Bioconductor - IHW (development version)

IHW

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

Independent Hypothesis Weighting

Bioconductor version: Development (3.22)

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")): Installation

To install this package, start R (version "4.5") and enter:


if (!require("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

# The following initializes usage of Bioc devel
BiocManager::install(version='devel')

BiocManager::install("IHW")

For older versions of R, please refer to the appropriate Bioconductor release.

Documentation

To view documentation for the version of this package installed in your system, start R and enter:

browseVignettes("IHW")
Details See More Suggests ggplot2, dplyr, gridExtra, scales, DESeq2, airway, testthat, Matrix, BiocStyle, knitr, rmarkdown, devtools Linking To Enhances Depends On Me IHWpaper Imports Me ideal, scp Suggests Me DEWSeq, GRaNIE, metagenomeSeq, BisRNA, DGEobj.utils Links To Me Build Report Build Report Package Archives

Follow Installation instructions to use this package in your R session.

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