bioconductor-lungcanceracvssccgeo
A lung cancer dataset that can be used with maPredictDSC package for developing outcome prediction models from Affymetrix CEL files.
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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).
About
Summary
A lung cancer dataset that can be used with maPredictDSC package for developing outcome prediction models from Affymetrix CEL files.
Last Updated
Dec 17, 2024 at 04:00
License
GPL-2
Total Downloads
40.7K
Supported Platforms
noarch
Unsupported Platforms
linux-64 Last supported version: 1.16.0
macOS-64 Last supported version: 1.16.0