Package: phateR
Title: PHATE - Potential of Heat-Diffusion for Affinity-Based
        Transition Embedding
Version: 1.0.4
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: 7.0.2
NeedsCompilation: no
Packaged: 2020-05-22 00:21:03 UTC; scottgigante
Author: Krishnan Srinivasan [aut],
  Scott Gigante [cre] (<https://orcid.org/0000-0002-4544-2764>)
Maintainer: Scott Gigante <scott.gigante@yale.edu>
Repository: CRAN
Date/Publication: 2020-05-22 04:40:02 UTC
Built: R 4.1.0; ; 2020-08-03 13:04:20 UTC; windows
