recipe bioconductor-veloviz

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

Homepage:

https://bioconductor.org/packages/3.16/bioc/html/veloviz.html

License:

GPL-3

Recipe:

/bioconductor-veloviz/meta.yaml

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.

package bioconductor-veloviz

(downloads) docker_bioconductor-veloviz

Versions:

1.4.0-01.0.0-21.0.0-11.0.0-0

Depends:
Required By:

Installation

With an activated Bioconda channel (see set-up-channels), install with:

conda install bioconductor-veloviz

and update with:

conda update bioconductor-veloviz

or use the docker container:

docker pull quay.io/biocontainers/bioconductor-veloviz:<tag>

(see bioconductor-veloviz/tags for valid values for <tag>)

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