OPWeight

DOI: 10.18129/B9.bioc.OPWeight    

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

Optimal p-value weighting with independent information

Bioconductor version: Development (3.17)

This package perform weighted-pvalue based multiple hypothesis test and provides corresponding information such as ranking probability, weight, significant tests, etc . To conduct this testing procedure, the testing method apply a probabilistic relationship between the test rank and the corresponding test effect size.

Author: Mohamad Hasan [aut, cre], Paul Schliekelman [aut]

Maintainer: Mohamad Hasan <shakilmohamad7 at gmail.com>

Installation

To install this package, start R (version "4.3") and enter:

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

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

BiocManager::install("OPWeight")

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

Documentation

PDF		Reference Manual

Details

biocViews	BiomedicalInformatics, ImmunoOncology, MultipleComparison, RNASeq, Regression, SNP, Software
Version	1.21.0
In Bioconductor since	BioC 3.6 (R-3.4) (5 years)
License	Artistic-2.0
Depends	R (>= 3.4.0)
Imports	graphics, qvalue, MASS, tibble, stats
LinkingTo
Suggests	airway, BiocStyle, cowplot, DESeq2, devtools, ggplot2, gridExtra, knitr, Matrix, rmarkdown, scales, testthat
SystemRequirements
Enhances
URL	https://github.com/mshasan/OPWeight
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Build Report

Package Archives

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

Source Package
Windows Binary
macOS Binary (x86_64)
macOS Binary (arm64)
Source Repository	git clone https://git.bioconductor.org/packages/OPWeight
Source Repository (Developer Access)	git clone git@git.bioconductor.org:packages/OPWeight
Package Short Url	https://bioconductor.org/packages/OPWeight/
Package Downloads Report	Download Stats