JEFworks-Lab/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.
Getting started
Browse package contents
Package details |
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| Bioconductor views | DimensionReduction GeneExpression RNASeq Sequencing Transcriptomics Visualization |
| Maintainer | |
| License | GPL-3 |
| Version | 1.2.1 |
| Package repository | View on GitHub |
| Installation |
Install the latest version of this package by entering the following in R:
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