Bioc2026 Registration Open!

LungCancerACvsSCCGEO

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

Bioconductor version: 3.23 · Package version: 1.48.0

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).

Installation

if (!require("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

BiocManager::install("LungCancerACvsSCCGEO")

Details

MaintainerAdi Laurentiu Tarca <atarca@med.wayne.edu>
AuthorAdi Laurentiu Tarca <atarca@med.wayne.edu>
LicenseGPL-2
URLhttp://bioinformaticsprb.med.wayne.edu/
Downloads rank138
Source branchRELEASE_3_23
biocViewsCancerData, ExperimentData, GEO, LungCancerData, MicroarrayData

Download

Follow the installation instructions to use this package in your R session.

Source packageLungCancerACvsSCCGEO_1.48.0.tar.gz
Dependencies

Depends: R (>= 2.15.0)

Reverse dependencies

Depends On Me (1): maPredictDSC