To install this package, start R and enter:

## try http if https is not available
source("https://bioconductor.org/biocLite.R")
biocLite("curatedBladderData")

In most cases, you don't need to download the package archive at all.

curatedBladderData

Bladder Cancer Gene Expression Analysis

Bioconductor version: 3.1

The curatedBladderData package provides relevant functions and data for gene expression analysis in patients with bladder cancer.

Author: Markus Riester

Maintainer: Markus Riester <markus at jimmy.harvard.edu>

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

To install this package, start R and enter:

## try http if https is not available
source("https://bioconductor.org/biocLite.R")
biocLite("curatedBladderData")

To view documentation for the version of this package installed in your system, start R and enter:

browseVignettes("curatedBladderData")

PDF		curatedBladderData_vignette.pdf
PDF		Reference Manual
Text		NEWS

biocViews	CancerData, ExperimentData, ExpressionData, MicroarrayData, OvarianCancerData
Version	1.4.0
License	Artistic-2.0
Depends	R (>= 2.10.0), affy
Imports
LinkingTo
Suggests	BiocStyle, survival, xtable, sva, genefilter, logging
SystemRequirements
Enhances
URL
Depends On Me
Imports Me
Suggests Me
Build Report

Follow Installation instructions to use this package in your R session.

Package Source	curatedBladderData_1.4.0.tar.gz
Windows Binary
Mac OS X 10.6 (Snow Leopard)
Mac OS X 10.9 (Mavericks)
Subversion source	(username/password: readonly)
Package Short Url	http://bioconductor.org/packages/curatedBladderData/
Package Downloads Report	Download Stats

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