Bioconductor 3.22 Released

PADOG

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

Pathway Analysis with Down-weighting of Overlapping Genes (PADOG)


Bioconductor version: Development (3.23)

This package implements a general purpose gene set analysis method called PADOG that downplays the importance of genes that apear often accross the sets of genes to be analyzed. The package provides also a benchmark for gene set analysis methods in terms of sensitivity and ranking using 24 public datasets from KEGGdzPathwaysGEO package.

Author: Adi Laurentiu Tarca <atarca at med.wayne.edu>; Zhonghui Xu <zhonghui.xu at gmail.com>

Maintainer: Adi L. Tarca <atarca at med.wayne.edu>

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

Installation

To install this package, start R (version "4.6") and enter:


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

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

BiocManager::install("PADOG")

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

Documentation

Reference Manual PDF

Details

biocViews Microarray, OneChannel, Software, TwoChannel
Version 1.51.0
In Bioconductor since BioC 2.11 (R-2.15) (13 years)
License GPL (>= 2)
Depends R (>= 3.0.0), KEGGdzPathwaysGEO, methods, Biobase
Imports limma, AnnotationDbi, GSA, foreach, doRNG, hgu133plus2.db, hgu133a.db, KEGGREST, nlme
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Follow Installation instructions to use this package in your R session.

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