Bioconductor version: Release (3.11)
This package generates ranked lists of differential gene expression for either disease or drug profiles. Input data can be downloaded from Array Express or GEO, or from local CEL files. Ranked lists of differential expression and associated p-values are calculated using Limma. Enrichment scores (Subramanian et al. PNAS 2005) are calculated to a reference set of default drug or disease profiles, or a set of custom data supplied by the user. Network visualisation of significant scores are output in Cytoscape format.
Author: C. Pacini
Maintainer: j. Saez-Rodriguez <saezrodriguez at ebi.ac.uk>
Citation (from within R,
enter citation("DrugVsDisease")
):
To install this package, start R (version "4.0") and enter:
if (!requireNamespace("BiocManager", quietly = TRUE)) install.packages("BiocManager") BiocManager::install("DrugVsDisease")
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("DrugVsDisease")
R Script | DrugVsDisease | |
Reference Manual |
biocViews | Clustering, GeneExpression, Microarray, Software |
Version | 2.30.0 |
In Bioconductor since | BioC 2.12 (R-3.0) (7.5 years) |
License | GPL-3 |
Depends | R (>= 2.10), affy, limma, biomaRt, ArrayExpress, GEOquery, DrugVsDiseasedata, cMap2data, qvalue |
Imports | annotate, hgu133a.db, hgu133a2.db, hgu133plus2.db, RUnit, BiocGenerics, xtable |
LinkingTo | |
Suggests | |
SystemRequirements | |
Enhances | |
URL | |
Depends On Me | |
Imports Me | |
Suggests Me | |
Links To Me | |
Build Report |
Follow Installation instructions to use this package in your R session.
Source Package | DrugVsDisease_2.30.0.tar.gz |
Windows Binary | DrugVsDisease_2.30.0.zip |
macOS 10.13 (High Sierra) | DrugVsDisease_2.30.0.tgz |
Source Repository | git clone https://git.bioconductor.org/packages/DrugVsDisease |
Source Repository (Developer Access) | git clone git@git.bioconductor.org:packages/DrugVsDisease |
Package Short Url | https://bioconductor.org/packages/DrugVsDisease/ |
Package Downloads Report | Download Stats |
Old Source Packages for BioC 3.11 | Source Archive |
Documentation »
Bioconductor
R / CRAN packages and documentation
Support »
Please read the posting guide. Post questions about Bioconductor to one of the following locations: