To install this package, start R and enter:

## try http:// if https:// URLs are not supported
source("http://bioc.ism.ac.jp/biocLite.R")
biocLite("LungCancerACvsSCCGEO")

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

LungCancerACvsSCCGEO

DOI: 10.18129/B9.bioc.LungCancerACvsSCCGEO    

This is the development version of LungCancerACvsSCCGEO; for the stable release version, see LungCancerACvsSCCGEO.

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

Bioconductor version: Development (3.6)

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:

## try http:// if https:// URLs are not supported
source("http://bioc.ism.ac.jp/biocLite.R")
biocLite("LungCancerACvsSCCGEO")

Documentation

PDF   Reference Manual

Details

biocViews CancerData, ExperimentData, GEO, LungCancerData, MicroarrayData
Version 1.13.0
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.

Source Package LungCancerACvsSCCGEO_1.13.0.tar.gz
Windows Binary
Mac OS X 10.11 (El Capitan)
Source Repository git clone https://git.bioconductor.org/packages/LungCancerACvsSCCGEO
Package Short Url http://bioconductor.org/packages/LungCancerACvsSCCGEO/
Package Downloads Report Download Stats

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