To install this package, start R and enter:

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

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

LungCancerACvsSCCGEO

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

Bioconductor version: Release (2.14)

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>

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

Installation

To install this package, start R and enter:

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

Documentation

PDF   Reference Manual

Details

biocViews Classification, ExperimentData, Microarray
Version 1.0.0
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_1.0.0.tar.gz
Windows Binary LungCancerACvsSCCGEO_1.0.0.zip (32- & 64-bit)
Mac OS X 10.6 (Snow Leopard) LungCancerACvsSCCGEO_1.0.0.tgz
Mac OS X 10.9 (Mavericks) LungCancerACvsSCCGEO_1.0.0.tgz
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