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

Package: LungCancerACvsSCCGEO
Version: 1.8.0
Date: 2013-7-13
Title: A lung cancer dataset that can be used with maPredictDSC package
for developing outcome prediction models from Affymetrix CEL
files.
Author: Adi Laurentiu Tarca <atarca@med.wayne.edu>
Depends: R (>= 2.15.0)
Maintainer: Adi Laurentiu Tarca <atarca@med.wayne.edu>
Description: 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).
License: GPL-2
URL: http://bioinformaticsprb.med.wayne.edu/
biocViews: CancerData, LungCancerData, MicroarrayData, GEO
LazyLoad: yes
NeedsCompilation: no
Packaged: 2016-05-07 20:37:34 UTC; biocbuild

● Data Source: BioConductor
● BiocViews: CancerData, GEO, LungCancerData, MicroarrayData
● 0 images, 0 functions, 1 datasets
Reverse Depends: 1