survClust

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

Identification Of Clinically Relevant Genomic Subtypes Using Outcome Weighted Learning


Bioconductor version: Release (3.20)

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")):

Installation

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


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

BiocManager::install("survClust")

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("survClust")
An introduction to survClust package HTML R Script
Reference Manual PDF
NEWS Text
LICENSE Text

Details

biocViews Classification, Clustering, Software, Survival
Version 1.0.0
In Bioconductor since BioC 3.20 (R-4.4) (< 6 months)
License MIT + file LICENSE
Depends R (>= 3.5.0)
Imports Rcpp, MultiAssayExperiment, pdist, survival
System Requirements
URL https://github.com/arorarshi/survClust
Bug Reports https://support.bioconductor.org/t/survClust
See More
Suggests knitr, testthat (>= 3.0.0), gplots, htmltools, BiocParallel
Linking To Rcpp
Enhances
Depends On Me
Imports Me
Suggests Me
Links To Me
Build Report Build Report

Package Archives

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

Source Package survClust_1.0.0.tar.gz
Windows Binary (x86_64) survClust_1.0.0.zip (64-bit only)
macOS Binary (x86_64) survClust_1.0.0.tgz
macOS Binary (arm64) survClust_1.0.0.tgz
Source Repository git clone https://git.bioconductor.org/packages/survClust
Source Repository (Developer Access) git clone [email protected]:packages/survClust
Bioc Package Browser https://code.bioconductor.org/browse/survClust/
Package Short Url https://bioconductor.org/packages/survClust/
Package Downloads Report Download Stats