# -------------------------------------------- # CITATION file created with {cffr} R package # See also: https://docs.ropensci.org/cffr/ # -------------------------------------------- cff-version: 1.2.0 message: 'To cite package "SurvivalClusteringTree" in publications use:' type: software license: GPL-2.0-or-later title: 'SurvivalClusteringTree: Clustering Analysis Using Survival Tree and Forest Algorithms' version: 1.1.1 doi: 10.32614/CRAN.package.SurvivalClusteringTree abstract: An outcome-guided algorithm is developed to identify clusters of samples with similar characteristics and survival rate. The algorithm first builds a random forest and then defines distances between samples based on the fitted random forest. Given the distances, we can apply hierarchical clustering algorithms to define clusters. Details about this method is described in . authors: - family-names: You given-names: Lu email: lu.you@epi.usf.edu - family-names: Ferrat given-names: Lauric email: l.a.ferrat@exeter.ac.uk - family-names: Parikh given-names: Hemang email: hemang.parikh@epi.usf.edu - family-names: Huo given-names: Yanan email: yananhoho@gmail.com - family-names: Yang given-names: Yuting email: yang.yuting@epi.usf.edu repository: https://CRAN.R-project.org/package=SurvivalClusteringTree date-released: '2024-05-15' contact: - family-names: You given-names: Lu email: lu.you@epi.usf.edu