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Bioconductor - survClust (development version)

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

Bioconductor version: Development (3.22)

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: 0000-0002-4040-1787

Maintainer: Arshi Arora <arshiaurora at gmail.com>

To install this package, start R (version "4.5") 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.

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

browseVignettes("survClust")

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

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