DESCRIPTION

Package: survClust
Title: Identification Of Clinically Relevant Genomic Subtypes Using Outcome Weighted Learning
Version: 0.99.8
Date: 2024-04-16
Authors@R: 
    person("Arshi", "Arora", , "arshiaurora@gmail.com", role = c("aut", "cre"),
           comment = c(ORCID = "0000-0002-4040-1787"))
Description: 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). 
VignetteBuilder: knitr
License: MIT + file LICENSE
Imports: Rcpp, MultiAssayExperiment, pdist, survival 
LinkingTo: Rcpp
URL: https://github.com/arorarshi/survClust
BugReports: https://support.bioconductor.org/t/survClust
biocViews: Software, Clustering, Survival, Classification
Encoding: UTF-8
Roxygen: list(markdown = TRUE)
RoxygenNote: 7.3.1
LazyData: true
Depends: 
    R (>= 3.5.0)
Suggests: 
    knitr,
    testthat (>= 3.0.0), 
    gplots, 
    htmltools, 
    BiocParallel
Config/testthat/edition: 3