Package: LungCancerACvsSCCGEO
Version: 1.48.0
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
Repository: Bioconductor 3.23
Date/Publication: 2026-04-28 12:25:54 UTC
RemoteUrl: https://github.com/bioc/LungCancerACvsSCCGEO
RemoteRef: RELEASE_3_23
RemoteSha: 02ffe1ae6ff10347955c709564312ada03a3973f
NeedsCompilation: no
Packaged: 2026-10-10 11:03:30 UTC; root