mcsurvdata

DOI: 10.18129/B9.bioc.mcsurvdata    

This package is for version 3.9 of Bioconductor; for the stable, up-to-date release version, see mcsurvdata.

Meta cohort survival data

Bioconductor version: 3.9

This package stores two merged expressionSet objects that contain the gene expression profile and clinical information of -a- six breast cancer cohorts and -b- four colorectal cancer cohorts. Breast cancer data are employed in the vignette of the hrunbiased package for survival analysis of gene signatures.

Author: Adria Caballe Mestres [aut, cre], Antoni Berenguer Llergo [aut], Camille Stephan-Otto Attolini [aut]

Maintainer: Adria Caballe Mestres <adria.caballe at irbbarcelona.org>

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

Installation

To install this package, start R (version "3.6") and enter:

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

BiocManager::install("mcsurvdata")

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

Documentation

To view documentation for the version of this package installed in your system, start R and enter:

browseVignettes("mcsurvdata")

 

HTML R Script analysis vignette
PDF   Reference Manual
Text   NEWS

Details

biocViews ExperimentData, GEO, Homo_sapiens_Data, MicroarrayData
Version 1.2.0
License GPL (>=2)
Depends R (>= 3.5), ExperimentHub
Imports AnnotationHub, Biobase
LinkingTo
Suggests knitr
SystemRequirements
Enhances
URL https://github.com/adricaba/mcsurvdata
Depends On Me
Imports Me
Suggests Me
Links To Me
Build Report  

Package Archives

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

Source Package mcsurvdata_1.2.0.tar.gz
Windows Binary
Mac OS X 10.11 (El Capitan)
Source Repository git clone https://git.bioconductor.org/packages/mcsurvdata
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/mcsurvdata
Package Short Url https://bioconductor.org/packages/mcsurvdata/
Package Downloads Report Download Stats

Documentation »

Bioconductor

R / CRAN packages and documentation

Support »

Please read the posting guide. Post questions about Bioconductor to one of the following locations: