survtype

Subtype Identification with Survival Data


Bioconductor version: Release (3.19)

Subtypes are defined as groups of samples that have distinct molecular and clinical features. Genomic data can be analyzed for discovering patient subtypes, associated with clinical data, especially for survival information. This package is aimed to identify subtypes that are both clinically relevant and biologically meaningful.

Author: Dongmin Jung

Maintainer: Dongmin Jung <dmdmjung at gmail.com>

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

Installation

To install this package, start R (version "4.4") and enter:


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

BiocManager::install("survtype")

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("survtype")
survtype HTML R Script
Reference Manual PDF
NEWS Text

Details

biocViews Clustering, Coverage, GeneExpression, Sequencing, Software, StatisticalMethod, Survival
Version 1.20.0
In Bioconductor since BioC 3.9 (R-3.6) (5.5 years)
License Artistic-2.0
Depends SummarizedExperiment, pheatmap, survival, survminer, clustvarsel, stats, utils
Imports
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Suggests maftools, scales, knitr, rmarkdown
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Package Archives

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

Source Package survtype_1.20.0.tar.gz
Windows Binary survtype_1.20.0.zip
macOS Binary (x86_64) survtype_1.20.0.tgz
macOS Binary (arm64) survtype_1.20.0.tgz
Source Repository git clone https://git.bioconductor.org/packages/survtype
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/survtype
Bioc Package Browser https://code.bioconductor.org/browse/survtype/
Package Short Url https://bioconductor.org/packages/survtype/
Package Downloads Report Download Stats
Old Source Packages for BioC 3.19 Source Archive