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veloviz

VeloViz: RNA-velocity informed 2D embeddings for visualizing cell state trajectories

Bioconductor version: 3.24 · Package version: 1.19.0

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.

Installation

if (!require("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

BiocManager::install("veloviz")

Details

MaintainerLyla Atta <lylaatta@jhmi.edu>
AuthorLyla Atta [aut, cre] (ORCID: <https://orcid.org/0000-0002-6113-0082>), Jean Fan [aut] (ORCID: <https://orcid.org/0000-0002-0212-5451>), Arpan Sahoo [aut] (ORCID: <https://orcid.org/0000-0002-0325-2073>)
LicenseGPL-3
Downloads rank309
Source branchdevel
biocViewsDimensionReduction, GeneExpression, RNASeq, Sequencing, Software, Transcriptomics, Visualization

Documentation

Download

Follow the installation instructions to use this package in your R session.

Source packageveloviz_1.19.0.tar.gz
Windows binary (x86_64)veloviz_1.19.0.zip
macOS binary (arm64)veloviz_1.19.0.tgz
macOS binary (x86_64)veloviz_1.19.0.tgz
Dependencies

Depends: R (>= 4.1)

Imports: Rcpp, Matrix, igraph, mgcv, RSpectra, grDevices, graphics, stats

LinkingTo: Rcpp

Suggests: knitr, rmarkdown, testthat