Bioconductor version: Release (3.16)
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")
):
To install this package, start R (version "4.2") and enter:
if (!require("BiocManager", quietly = TRUE)) install.packages("BiocManager") BiocManager::install("PADOG")
For older versions of R, please refer to the appropriate Bioconductor release.
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("PADOG")
R Script | PADOG | |
Reference Manual |
biocViews | Microarray, OneChannel, Software, TwoChannel |
Version | 1.40.0 |
In Bioconductor since | BioC 2.11 (R-2.15) (10.5 years) |
License | GPL (>= 2) |
Depends | R (>= 3.0.0), KEGGdzPathwaysGEO, methods, Biobase |
Imports | limma, AnnotationDbi, GSA, foreach, doRNG, hgu133plus2.db, hgu133a.db, KEGGREST, nlme |
LinkingTo | |
Suggests | doParallel, parallel |
SystemRequirements | |
Enhances | |
URL | |
Depends On Me | BLMA |
Imports Me | EGSEA |
Suggests Me | |
Links To Me | |
Build Report |
Follow Installation instructions to use this package in your R session.
Source Package | PADOG_1.40.0.tar.gz |
Windows Binary | PADOG_1.40.0.zip |
macOS Binary (x86_64) | PADOG_1.40.0.tgz |
macOS Binary (arm64) | PADOG_1.40.0.tgz |
Source Repository | git clone https://git.bioconductor.org/packages/PADOG |
Source Repository (Developer Access) | git clone git@git.bioconductor.org:packages/PADOG |
Bioc Package Browser | https://code.bioconductor.org/browse/PADOG/ |
Package Short Url | https://bioconductor.org/packages/PADOG/ |
Package Downloads Report | Download Stats |
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