arorarshi/survClust: Identification of clinically relevant genomic subtypes using outcome weighted learning

survClust is an outcome weighted clustering algorithm used to classify multi-omic samples on their available time to event information.

Getting started

Package details

AuthorArshi Arora
MaintainerArshi Arora <aroraa@mskcc.org>
LicenseMIT + file LICENSE
Version1.0
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("remotes")
remotes::install_github("arorarshi/survClust")
arorarshi/survClust documentation built on Jan. 30, 2020, 10:40 a.m.