Last data update: 2014.03.03
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LungCancerACvsSCCGEO
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
Install log
* installing to library '/home/ddbj/local/lib64/R/library'
* installing *source* package 'LungCancerACvsSCCGEO' ...
** data
** inst
** help
*** installing help indices
converting help for package 'LungCancerACvsSCCGEO'
finding HTML links ... done
LungCancerACvsSCCGEO html
** building package indices
** testing if installed package can be loaded
* DONE (LungCancerACvsSCCGEO)
Making 'packages.html' ... done
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