To install this package, start R and enter:

## try http:// if https:// URLs are not supported
source("https://bioconductor.org/biocLite.R")
biocLite("PREDAsampledata")

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

PREDAsampledata

expression and copy number data on clear cell renal carcinoma samples

Bioconductor version: Release (3.5)

Sample data for PREDA package. (annotations objects synchronized with GeneAnnot custom CDFs version 2.2.0)

Author: I. Cifola et al. in Cristina Battaglia Lab, University of Milan

Maintainer: Francesco Ferrari <francesco.ferrari at ifom.eu>

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

To install this package, start R and enter:

## try http:// if https:// URLs are not supported
source("https://bioconductor.org/biocLite.R")
biocLite("PREDAsampledata")


PDF		Reference Manual

biocViews	ArrayExpress, CancerData, ExperimentData, KidneyCancerData, MicroarrayData, Tissue, TissueMicroarrayData
Version	0.16.0
License	Artistic-2.0
Depends	R (>= 2.10.0), methods, PREDA, Biobase, affy, annotate
Imports
LinkingTo
Suggests	hgu133plus2.db, hgu133plus2cdf
SystemRequirements
Enhances
URL
Depends On Me
Imports Me
Suggests Me	PREDA
Build Report

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

Source Package	PREDAsampledata_0.16.0.tar.gz
Windows Binary
Mac OS X 10.11 (El Capitan)
Source Repository	git clone https://git.bioconductor.org/packages/PREDAsampledata
Package Short Url	http://bioconductor.org/packages/PREDAsampledata/
Package Downloads Report	Download Stats

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