Bioconductor 3.22 Released

survClust

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

Identification Of Clinically Relevant Genomic Subtypes Using Outcome Weighted Learning


Bioconductor version: Development (3.23)

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] ORCID iD ORCID: 0000-0002-4040-1787

Maintainer: Arshi Arora <arshiaurora at gmail.com>

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

Installation

To install this package, start R (version "4.6") and enter:


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

# The following initializes usage of Bioc devel
BiocManager::install(version='devel')

BiocManager::install("survClust")

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

Documentation

Reference Manual PDF

Details

biocViews Classification, Clustering, Software, Survival
Version 1.3.0
In Bioconductor since BioC 3.20 (R-4.4) (1 year)
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
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Package Archives

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

Source Package
Windows Binary (x86_64)
macOS Binary (x86_64)
macOS Binary (arm64)
Source Repository git clone https://git.bioconductor.org/packages/survClust
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/survClust
Package Short Url https://bioconductor.org/packages/survClust/
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