# ------------------------------------------------ # CITATION.cff file created with {cffr} R package # See also: https://docs.ropensci.org/cffr/ # ------------------------------------------------ cff-version: 1.2.0 message: 'To cite package "TreeDimensionTest" in publications use:' type: software license: LGPL-3.0-or-later title: 'TreeDimensionTest: Trajectory Presence and Heterogeneity in Multivariate Data' version: 0.0.3 doi: 10.1371/journal.pcbi.1009829 identifiers: - type: doi value: 10.32614/CRAN.package.TreeDimensionTest abstract: Testing for trajectory presence and heterogeneity on multivariate data. Two statistical methods (Tenha & Song 2022) are implemented. The tree dimension test quantifies the statistical evidence for trajectory presence. The subset specificity measure summarizes pattern heterogeneity using the minimum subtree cover. There is no user tunable parameters for either method. Examples are included to illustrate how to use the methods on single-cell data for studying gene and pathway expression dynamics and pathway expression specificity. authors: - family-names: Tenha given-names: Lovemore email: ltenha@nmsu.edu orcid: https://orcid.org/0000-0001-9705-2023 - family-names: Song given-names: Joe email: joemsong@nmsu.edu orcid: https://orcid.org/0000-0002-6883-6547 preferred-citation: type: article title: Inference of trajectory presence by tree dimension and subset specificity by subtree cover authors: - family-names: Tenha given-names: Lovemore email: ltenha@nmsu.edu orcid: https://orcid.org/0000-0001-9705-2023 - family-names: Song given-names: Mingzhou journal: PLOS Computational Biology year: '2022' volume: '18' issue: '2' doi: 10.1371/journal.pcbi.1009829 start: e1009829 repository: https://cran.r-universe.dev commit: 26ff40ea88819fbfd9b5fcf69d803d7ecabcfa0f date-released: '2026-07-18' contact: - family-names: Song given-names: Joe email: joemsong@nmsu.edu orcid: https://orcid.org/0000-0002-6883-6547