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

Bioconductor version: Release (3.18)

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")):


To install this package, start R (version "4.3") and enter:

if (!require("BiocManager", quietly = TRUE))


For older versions of R, please refer to the appropriate Bioconductor release.


Reference Manual PDF


biocViews CancerData, ExperimentData, GEO, LungCancerData, MicroarrayData
Version 1.38.0
License GPL-2
Depends R (>= 2.15.0)
System Requirements
URL http://bioinformaticsprb.med.wayne.edu/
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Follow Installation instructions to use this package in your R session.

Source Package LungCancerACvsSCCGEO_1.38.0.tar.gz
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Source Repository git clone https://git.bioconductor.org/packages/LungCancerACvsSCCGEO
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/LungCancerACvsSCCGEO
Package Short Url https://bioconductor.org/packages/LungCancerACvsSCCGEO/
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