phateR

PHATE - Potential of Heat-Diffusion for Affinity-Based Transition Embedding

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 preprint on bioRxiv at <http://biorxiv.org/content/early/2017/03/24/120378>.

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Description file content

Package
phateR
Title
PHATE - Potential of Heat-Diffusion for Affinity-Based Transition Embedding
Version
0.4.1
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 preprint on bioRxiv at .
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
Suggests
gridGraphics, cowplot
RoxygenNote
6.1.0
NeedsCompilation
no
Packaged
2019-04-26 16:47:35 UTC; scott
Author
Krishnan Srinivasan [aut], Scott Gigante [cre] ()
Maintainer
Scott Gigante
Repository
CRAN
Date/Publication
2019-04-26 17:20:03 UTC

install.packages('phateR')

0.4.1

2 months ago

Scott Gigante

GPL-2 | file LICENSE

Depends on

R (>= 3.3), Matrix (>= 1.2-0)

Imports

methods, stats, graphics, reticulate (>= 1.8), ggplot2

Suggests

gridGraphics, cowplot

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