Package: veloviz 1.11.0
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_1.11.0.tar.gz
veloviz_1.11.0.zip(r-4.5)veloviz_1.11.0.zip(r-4.4)veloviz_1.11.0.zip(r-4.3)
veloviz_1.11.0.tgz(r-4.4-arm64)veloviz_1.11.0.tgz(r-4.4-x86_64)veloviz_1.11.0.tgz(r-4.3-arm64)veloviz_1.11.0.tgz(r-4.3-x86_64)
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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-1.11.0(bioc 3.20)veloviz-1.10.0(bioc 3.19)
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 2 months agofrom:13cad1e51f
Exports:asNNGraphbuildVelovizgraphViznormalizeDepthnormalizeVarianceplotEmbeddingplotVelovizprojectedNeighborsreduceDimensions
Dependencies:clicpp11glueigraphlatticelifecyclemagrittrMatrixmgcvnlmepkgconfigRcppRcppEigenrlangRSpectravctrs
