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This is the development version of survtype; for the stable release version, see survtype.

Subtype Identification with Survival Data

Bioconductor version: Development (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>

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


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

if (!require("BiocManager", quietly = TRUE))

# The following initializes usage of Bioc devel


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


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

survtype HTML R Script
Reference Manual PDF


biocViews Clustering, Coverage, GeneExpression, Sequencing, Software, StatisticalMethod, Survival
Version 1.19.0
In Bioconductor since BioC 3.9 (R-3.6) (5 years)
License Artistic-2.0
Depends SummarizedExperiment, pheatmap, survival, survminer, clustvarsel, stats, utils
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Suggests maftools, scales, knitr, rmarkdown
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Source Package survtype_1.19.0.tar.gz
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