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phateR
View on CRAN: Click
here
Download and install phateR package within the R console
Install from CRAN:
install.packages("phateR")
Install from Github:
library("remotes")
install_github("cran/phateR") Install by package version:
library("remotes")
install_version("phateR", "1.0.7") Attach the package and use:
library("phateR")
Maintained by
Scott Gigante
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2018-05-27
Latest Update: 2021-02-12
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 .
How to cite:
Scott Gigante (2018). phateR: PHATE - Potential of Heat-Diffusion for Affinity-Based Transition Embedding. R package version 1.0.7, https://cran.r-project.org/web/packages/phateR. Accessed 09 Oct. 2026.
Previous versions and publish date:
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Other R packages that phateR depends,
imports, suggests or enhances
Complete documentation for phateR
Functions, R codes and Examples using
the phateR R package
Some associated functions: as.data.frame . as.matrix . check_pyphate_version . cluster_phate . ggplot . install.phate . library.size.normalize . phate . plot . print . summary . tree.data . tree.data.small .
Some associated R codes: cluster.R . phate.R . preprocessing.R . tree.data.R . utils.R . Full phateR package functions and examples
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