LungCancerACvsSCCGEO
A lung cancer dataset that can be used with maPredictDSC package for developing outcome prediction models from Affymetrix CEL files.
Bioconductor version: 3.24 · Package version: 1.49.0
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
| Maintainer | Adi Laurentiu Tarca <atarca@med.wayne.edu> |
| Author | Adi Laurentiu Tarca <atarca@med.wayne.edu> |
| License | GPL-2 |
| URL | http://bioinformaticsprb.med.wayne.edu/ |
| Downloads rank | 138 |
| Source branch | devel |
| biocViews | CancerData, ExperimentData, GEO, LungCancerData, MicroarrayData |
Download
Follow the installation instructions to use this package in your R session.
| Source package | LungCancerACvsSCCGEO_1.49.0.tar.gz |
Dependencies
Depends: R (>= 2.15.0)
Reverse dependencies
Depends On Me (1): maPredictDSC