Package: veloviz 1.13.0
Lyla Atta
veloviz: VeloViz: RNA-velocity informed 2D embeddings for visualizing cell state trajectories
VeloViz uses each cell’s current observed and predicted future transcriptional states inferred from RNA velocity analysis to build a nearest neighbor graph between cells in the population. Edges are then pruned based on a cosine correlation threshold and/or a distance threshold and the resulting graph is visualized using a force-directed graph layout algorithm. VeloViz can help ensure that relationships between cell states are reflected in the 2D embedding, allowing for more reliable representation of underlying cellular trajectories.
Authors:
veloviz_1.13.0.tar.gz
veloviz_1.13.0.zip(r-4.5)veloviz_1.13.0.zip(r-4.4)veloviz_1.13.0.zip(r-4.3)
veloviz_1.13.0.tgz(r-4.4-x86_64)veloviz_1.13.0.tgz(r-4.4-arm64)veloviz_1.13.0.tgz(r-4.3-x86_64)veloviz_1.13.0.tgz(r-4.3-arm64)
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veloviz.pdf |veloviz.html✨
veloviz/json (API)
NEWS
# Install 'veloviz' in R: |
install.packages('veloviz', repos = c('https://bioc.r-universe.dev', 'https://cloud.r-project.org')) |
On BioConductor:veloviz-1.13.0(bioc 3.21)veloviz-1.12.0(bioc 3.20)
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
transcriptomicsvisualizationgeneexpressionsequencingrnaseqdimensionreduction
Last updated 23 days agofrom:53cb575e70. Checks:OK: 9. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Oct 31 2024 |
R-4.5-win-x86_64 | OK | Oct 31 2024 |
R-4.5-linux-x86_64 | OK | Oct 31 2024 |
R-4.4-win-x86_64 | OK | Oct 31 2024 |
R-4.4-mac-x86_64 | OK | Oct 31 2024 |
R-4.4-mac-aarch64 | OK | Oct 31 2024 |
R-4.3-win-x86_64 | OK | Oct 31 2024 |
R-4.3-mac-x86_64 | OK | Oct 31 2024 |
R-4.3-mac-aarch64 | OK | Oct 31 2024 |
Exports:asNNGraphbuildVelovizgraphViznormalizeDepthnormalizeVarianceplotEmbeddingplotVelovizprojectedNeighborsreduceDimensions
Dependencies:clicpp11glueigraphlatticelifecyclemagrittrMatrixmgcvnlmepkgconfigRcppRcppEigenrlangRSpectravctrs