LungCancerACvsSCCGEO

DOI: 10.18129/B9.bioc.LungCancerACvsSCCGEO    

This package is for version 3.13 of Bioconductor; for the stable, up-to-date 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: 3.13

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 med.wayne.edu>

Maintainer: Adi Laurentiu Tarca <atarca at med.wayne.edu>

Installation

To install this package, start R (version "4.1") and enter:

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

BiocManager::install("LungCancerACvsSCCGEO")

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

Documentation

PDF		Reference Manual

Details

biocViews	CancerData, ExperimentData, GEO, LungCancerData, MicroarrayData
Version	1.28.0
License	GPL-2
Depends	R (>= 2.15.0)
Imports
LinkingTo
Suggests
SystemRequirements
Enhances
URL	http://bioinformaticsprb.med.wayne.edu/
Depends On Me	maPredictDSC
Imports Me
Suggests Me
Links To Me
Build Report

Package Archives

Follow Installation instructions to use this package in your R session.

Source Package	LungCancerACvsSCCGEO_1.28.0.tar.gz
Windows Binary
macOS 10.13 (High Sierra)
Source Repository	git clone https://git.bioconductor.org/packages/LungCancerACvsSCCGEO
Source Repository (Developer Access)	git clone git@git.bioconductor.org:packages/LungCancerACvsSCCGEO
Package Short Url	https://bioconductor.org/packages/LungCancerACvsSCCGEO/
Package Downloads Report	Download Stats