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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 (3.20)

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>

Maintainer: Adi Laurentiu Tarca <atarca at>

Citation (from within R, enter citation("LungCancerACvsSCCGEO")):


To install this package, start R (version "4.4") and enter:

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

# The following initializes usage of Bioc devel


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


Reference Manual PDF


biocViews CancerData, ExperimentData, GEO, LungCancerData, MicroarrayData
Version 1.41.0
License GPL-2
Depends R (>= 2.15.0)
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Source Package LungCancerACvsSCCGEO_1.41.0.tar.gz
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