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 (3.1)

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 CancerData, ExperimentData, GEO, LungCancerData, MicroarrayData
Version 1.4.0
License GPL-2
Depends R (>= 2.15.0)
Imports
LinkingTo
Suggests
SystemRequirements
Enhances
URL http://bioinformaticsprb.med.wayne.edu/
Depends On Me maPredictDSC
Imports Me
Suggests Me
Build Report  

Package Archives

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

Package Source LungCancerACvsSCCGEO_1.4.0.tar.gz
Windows Binary
Mac OS X 10.6 (Snow Leopard)
Mac OS X 10.9 (Mavericks)
Browse/checkout source (username/password: readonly)
Package Downloads Report Download Stats

Documentation »

Bioconductor

R / CRAN packages and documentation

Support »

Please read the posting guide. Post questions about Bioconductor to one of the following locations:

Fred Hutchinson Cancer Research Center