Package: phateR
Title: PHATE - Potential of Heat-Diffusion for Affinity-Based
        Transition Embedding
Version: 1.0.7
Authors@R: c(person("Krishnan", "Srinivasan", email = "krishnan.srinivasan@yale.edu", role = c("aut")),
             person(given = 'Scott', family = 'Gigante', email = 'scott.gigante@yale.edu', role = 'cre', comment = c(ORCID = '0000-0002-4544-2764')))
Description: PHATE is a tool for visualizing high dimensional
        single-cell data with natural progressions or trajectories.
        PHATE uses a novel conceptual framework for learning and
        visualizing the manifold inherent to biological systems in
        which smooth transitions mark the progressions of cells from
        one state to another. To see how PHATE can be applied to
        single-cell RNA-seq datasets from hematopoietic stem cells,
        human embryonic stem cells, and bone marrow samples, check out
        our publication in Nature Biotechnology at
        <doi:10.1038/s41587-019-0336-3>.
License: GPL-2 | file LICENSE
Encoding: UTF-8
LazyData: true
Depends: R (>= 3.3), Matrix (>= 1.2-0)
Imports: methods, stats, graphics, reticulate (>= 1.8), ggplot2,
        memoise
Suggests: gridGraphics, cowplot
RoxygenNote: 7.1.1
NeedsCompilation: no
Packaged: 2026-10-10 15:35:38 UTC; root
Author: Krishnan Srinivasan [aut], Scott Gigante [cre]
        (<https://orcid.org/0000-0002-4544-2764>)
Maintainer: Scott Gigante <scott.gigante@yale.edu>
Config/pak/sysreqs: libpng-dev python3
Repository: https://scottgigante.r-universe.dev
Date/Publication: 2021-02-12 09:00:02 UTC
RemoteUrl: https://github.com/cran/phateR
RemoteRef: HEAD
RemoteSha: e0cd10e1ed560ff20c66b0d9cc4089264fde74a4