source("http://bioconductor.org/biocLite.R")
biocLite("LungCancerACvsSCCGEO")

LungCancerACvsSCCGEO

A lung cancer dataset that can be used with maPredictDSC package for developing outcome prediction models from Affymetrix CEL files.

Bioconductor version: 2.13

This package contains 30 Affymetrix CEL files for 7 Adenocarcinoma (AC) and 8 Squamous cell carcinoma (SCC) lung cancer samples taken at random from 3 GEO datasets (GSE10245, GSE18842 and GSE2109) and other 15 samples from a dataset produced by the organizers of the IMPROVER Diagnostic Signature Challenge available from GEO (GSE43580).

Author: Adi Laurentiu Tarca <atarca at med.wayne.edu>

Maintainer: Adi Laurentiu Tarca <atarca at med.wayne.edu>

Installation

To install this package, start R and enter:

source("http://bioconductor.org/biocLite.R")
biocLite("LungCancerACvsSCCGEO")

Documentation

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

browseVignettes("LungCancerACvsSCCGEO")

 

PDF		Reference Manual

Details

biocViews	Classification, ExperimentData, Microarray
Version	0.99.1
License	GPL-2
Depends	R (>= 2.15.0)
Imports
Suggests
System Requirements
URL	http://bioinformaticsprb.med.wayne.edu/
Depends On Me	maPredictDSC
Imports Me
Suggests Me

Package Archives

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

Package Source	LungCancerACvsSCCGEO_0.99.1.tar.gz
Windows Binary	LungCancerACvsSCCGEO_0.99.1.zip (32- & 64-bit)
Mac OS X 10.6 (Snow Leopard)	LungCancerACvsSCCGEO_0.99.1.tgz
Browse/checkout source	(username/password: readonly)
Package Downloads Report	Download Stats