A lung cancer dataset that can be used with maPredictDSC package for developing outcome prediction models from Affymetrix CEL files.
conda install bioconda::bioconductor-lungcanceracvssccgeoconda install bioconda/label/cf201901::bioconductor-lungcanceracvssccgeoconda install bioconda/label/gcc7::bioconductor-lungcanceracvssccgeo
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).