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DrugVsDisease : Comparison of disease and drug profiles using Gene set Enrichment Analysis

Package: DrugVsDisease
Type: Package
Title: Comparison of disease and drug profiles using Gene set
Enrichment Analysis
Version: 2.12.0
Date: 2015-04-13
Author: C. Pacini
Maintainer: j. Saez-Rodriguez <saezrodriguez@ebi.ac.uk>
Description: 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.
LazyData: yes
LazyLoad: yes
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
biocViews: Microarray, GeneExpression, Clustering
NeedsCompilation: no
Packaged: 2016-05-05 03:46:41 UTC; biocbuild

● Data Source: BioConductor
● BiocViews: Clustering, GeneExpression, Microarray
● 0 images, 5 functions, 6 datasets
● Reverse Depends: 0