Package: phateR 1.0.7

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 publication in Nature Biotechnology at <doi:10.1038/s41587-019-0336-3>.

Authors:Krishnan Srinivasan [aut], Scott Gigante [cre]

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phateR/json (API)

# Install 'phateR' in R:
install.packages('phateR', repos = c('https://scottgigante.r-universe.dev', 'https://cloud.r-project.org'))
Datasets:

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

3.72 score 1 stars 262 scripts 582 downloads 4 mentions 5 exports 39 dependencies

Last updated 4 years agofrom:e0cd10e1ed. Checks:9 OK. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKMar 09 2025
R-4.5-winOKMar 09 2025
R-4.5-macOKMar 09 2025
R-4.5-linuxOKMar 09 2025
R-4.4-winOKMar 09 2025
R-4.4-macOKMar 09 2025
R-4.4-linuxOKMar 09 2025
R-4.3-winOKMar 09 2025
R-4.3-macOKMar 09 2025

Exports:check_pyphate_versioncluster_phateinstall.phatelibrary.size.normalizephate

Dependencies:cachemclicolorspacefansifarverfastmapggplot2gluegtablehereisobandjsonlitelabelinglatticelifecyclemagrittrMASSMatrixmemoisemgcvmunsellnlmepillarpkgconfigpngR6rappdirsRColorBrewerRcppRcppTOMLreticulaterlangrprojrootscalestibbleutf8vctrsviridisLitewithr