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LungCancerACvsSCCGEO

This is the released version of LungCancerACvsSCCGEO; for the devel version, see LungCancerACvsSCCGEO.

All versions 3.24 (devel), 3.23 (release), 3.22, 3.21, 3.20, 3.19, 3.18, 3.17, 3.16, 3.15, 3.14, 3.13, 3.12, 3.11, 3.10, 3.9, 3.8, 3.7, 3.6, 3.5, 3.4, 3.3, 3.2, 3.1, 3.0, 2.14, 2.13

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


Bioconductor version: Release (3.23)

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>

Citation (from within R, enter citation("LungCancerACvsSCCGEO")):

Adi Laurentiu Tarca. LungCancerACvsSCCGEO: A lung cancer dataset that can be used with maPredictDSC package for developing outcome prediction models from Affymetrix CEL files. doi:10.18129/B9.bioc.LungCancerACvsSCCGEO, R package version 1.48.0, https://bioconductor.org/packages/LungCancerACvsSCCGEO.

Generated from the package metadata; it may differ from the package's own citation.

Installation

To install this package, start R (version "4.6") and enter:

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

BiocManager::install("LungCancerACvsSCCGEO")

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

Documentation

No vignettes available
Reference ManualPDF

Details

biocViews CancerData, ExperimentData, GEO, LungCancerData, MicroarrayData
Version1.48.0
In Bioconductor sinceBioC 2.13 (R-3.0) (13 years)
License GPL-2
Depends R (>= 2.15.0)
Imports
System Requirements
URLhttp://bioinformaticsprb.med.wayne.edu/
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Depends On Me maPredictDSC
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Package Archives

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

Source Package LungCancerACvsSCCGEO_1.48.0.tar.gz
Windows Binary (x86_64)
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macOS Binary (sonoma-arm64)
Source Repositorygit 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/
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