survClust
This is the development version of survClust; for the stable release version, see survClust.
All Bioconductor versions of survClust
3.24 (devel), 3.23 (release), 3.22, 3.21, 3.20
Identification Of Clinically Relevant Genomic Subtypes Using Outcome Weighted Learning
Bioconductor version: 3.24 · Package version: 1.7.0
survClust is an outcome weighted integrative clustering algorithm used to classify multi-omic samples on their available time to event information. The resulting clusters are cross-validated to avoid over overfitting and output classification of samples that are molecularly distinct and clinically meaningful. It takes in binary (mutation) as well as continuous data (other omic types).
Author: Arshi Arora [aut, cre] 
Maintainer: Arshi Arora <arshiaurora at gmail.com>
Citation
From within R, enter citation("survClust"):
Arshi Arora. survClust: Identification Of Clinically Relevant Genomic Subtypes Using Outcome Weighted Learning. doi:10.18129/B9.bioc.survClust, R package version 1.7.0, https://bioconductor.org/packages/survClust.
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")
## The following initializes the development version of Bioconductor
BiocManager::install(version = "devel")
BiocManager::install("survClust")For older versions of R, please refer to the appropriate Bioconductor release.
Details
| Version | 1.7.0 |
| License | MIT + file LICENSE |
| URL | https://github.com/arorarshi/survClust |
| Bug Reports | https://support.bioconductor.org/t/survClust |
| Last updated | 2026-04-28 |
| In Bioconductor since | BioC 3.20 (R-4.4) (1 year) |
| Downloads rank | 2225 of 2,456 |
| Source branch | devel |
| Build report | Bioconductor build system, r-universe |
| biocViews | Classification, Clustering, Software, Survival |
| Package Short Url | https://bioconductor.org/packages/survClust/ |
Documentation
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("survClust")| An introduction to survClust package | HTML | R Script |
| Reference Manual | ||
| NEWS | Text |
Download
Follow the installation instructions to use this package in your R session.
| Source package | survClust_1.7.0.tar.gz |
| Windows binary (x86_64) | survClust_1.7.0.zip |
| macOS binary (arm64) | survClust_1.7.0.tgz |
| macOS binary (x86_64) | survClust_1.7.0.tgz |
| Source Repository | git clone https://git.bioconductor.org/packages/survClust |
| Source Repository (Developer Access) | git clone git@git.bioconductor.org:packages/survClust |
| Package Downloads Report | Download Stats |
Dependencies
Depends: R (>= 3.5.0)
Imports: Rcpp, MultiAssayExperiment, pdist, survival
LinkingTo: Rcpp
Suggests: knitr, testthat (>= 3.0.0), gplots, htmltools, BiocParallel