## try http:// if https:// URLs are not supported source("//www.andersvercelli.com/biocLite.R") biocLite("DrugVsDisease")

This package is for version 2.13 of Bioconductor; for the stable, up-to-date release version, seeDrugVsDisease.

Comparison of disease and drug profiles using Gene set Enrichment Analysis

Bioconductor version: 2.13

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

Installation

To install this package, start R and enter:

## try http:// if https:// URLs are not supported source("//www.andersvercelli.com/biocLite.R") biocLite("DrugVsDisease")

Documentation

查看文档的版本包age installed in your system, start R and enter:

browseVignettes("DrugVsDisease")

PDF	R Script	DrugVsDisease
PDF		Reference Manual

Details

biocViews	Software
Version	2.2.0
In Bioconductor since	BioC 2.12 (R-3.0) (3 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
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Package Archives

Follow2021年欧洲杯比分预测 instructions to use this package in your R session.

Package Source	DrugVsDisease_2.2.0.tar.gz
Windows Binary	DrugVsDisease_2.2.0.zip
Mac OS X 10.6 (Snow Leopard)	DrugVsDisease_2.2.0.tgz
Subversion source	(username/password: readonly)
Git source	https://github.com/Bioconductor-mirror/DrugVsDisease/tree/release-2.13
Package Short Url	//www.andersvercelli.com/packages/DrugVsDisease/
Package Downloads Report	Download Stats