Package: scDataviz Type: Package Title: scDataviz: single cell dataviz and downstream analyses Version: 1.23.0 Authors@R: c( person("Kevin", "Blighe", role=c("aut", "cre"), email="kevin@clinicalbioinformatics.co.uk")) Description: In the single cell World, which includes flow cytometry, mass cytometry, single-cell RNA-seq (scRNA-seq), and others, there is a need to improve data visualisation and to bring analysis capabilities to researchers even from non-technical backgrounds. scDataviz attempts to fit into this space, while also catering for advanced users. Additonally, due to the way that scDataviz is designed, which is based on SingleCellExperiment, it has a 'plug and play' feel, and immediately lends itself as flexibile and compatibile with studies that go beyond scDataviz. Finally, the graphics in scDataviz are generated via the ggplot engine, which means that users can 'add on' features to these with ease. BugReports: https://github.com/kevinblighe/scDataviz/issues License: GPL-3 Depends: R (>= 4.0), S4Vectors, SingleCellExperiment, Imports: ggplot2, ggrepel, flowCore, umap, Seurat, reshape2, scales, RColorBrewer, corrplot, stats, grDevices, graphics, utils, MASS, matrixStats, methods Suggests: PCAtools, cowplot, BiocGenerics, RUnit, knitr, kableExtra, rmarkdown URL: https://github.com/kevinblighe/scDataviz biocViews: SingleCell, ImmunoOncology, RNASeq, GeneExpression, Transcription, FlowCytometry, MassSpectrometry, DataImport VignetteBuilder: knitr Encoding: UTF-8 RoxygenNote: 7.1.2 Config/pak/sysreqs: cmake libglpk-dev make libicu-dev libpng-dev libuv1-dev libxml2-dev libssl-dev python3 zlib1g-dev Repository: https://bioc.r-universe.dev Date/Publication: 2026-04-28 12:53:11 UTC RemoteUrl: https://github.com/bioc/scDataviz RemoteRef: HEAD RemoteSha: d6ca91b7160c59ac34a3fc4725e9c2abe4834cfb NeedsCompilation: no Packaged: 2026-07-03 05:51:55 UTC; root Author: Kevin Blighe [aut, cre] Maintainer: Kevin Blighe