Package: veloviz Title: VeloViz: RNA-velocity informed 2D embeddings for visualizing cell state trajectories Version: 1.19.0 Authors@R: c(person(given = "Lyla", family = "Atta", role = c("aut", "cre"), email = "lylaatta@jhmi.edu", comment = c(ORCID = "0000-0002-6113-0082")), person(given = "Jean", family = "Fan", role = c("aut"), email = "jeanfan@jhu.edu", comment = c(ORCID = "0000-0002-0212-5451")), person(given = "Arpan", family = "Sahoo", role = c("aut"), email = "asahoo1@jhu.edu", comment = c(ORCID = "0000-0002-0325-2073"))) Description: 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. biocViews: Transcriptomics, Visualization, GeneExpression, Sequencing, RNASeq, DimensionReduction License: GPL-3 Encoding: UTF-8 LazyData: false Roxygen: list(markdown = TRUE) RoxygenNote: 7.1.1 Imports: Rcpp, Matrix, igraph, mgcv, RSpectra, grDevices, graphics, stats LinkingTo: Rcpp Depends: R (>= 4.1) Suggests: knitr, rmarkdown, testthat VignetteBuilder: knitr Config/pak/sysreqs: libglpk-dev libxml2-dev Repository: https://bioc.r-universe.dev Date/Publication: 2026-04-28 12:56:42 UTC RemoteUrl: https://github.com/bioc/veloviz RemoteRef: HEAD RemoteSha: 69af4542bfe8ba0e6d554c87a2c80a0ee4aa408e NeedsCompilation: yes Packaged: 2026-06-23 06:51:30 UTC; root Author: Lyla Atta [aut, cre] (ORCID: ), Jean Fan [aut] (ORCID: ), Arpan Sahoo [aut] (ORCID: ) Maintainer: Lyla Atta