Package: GloScope Type: Package Title: Population-level Representation on scRNA-Seq data Version: 2.3.0 Authors@R: c( person("Elizabeth", "Purdom", email = "epurdom@stat.berkeley.edu", role = c("aut","cre")), person("William", "Torous", email = "wtorous@berkeley.edu", role = c("aut"), comment = c(ORCID="0000-0001-5668-5510")), person("Hao", "Wang", email = "hao_wang@berkeley.edu", role = c("aut"), comment = c(ORCID="0000-0002-0749-474X")), person("Boying", "Gong", email = "boyinggong@berkeley.edu", role = "aut")) Description: This package aims at representing and summarizing the entire single-cell profile of a sample. It allows researchers to perform important bioinformatic analyses at the sample-level such as visualization and quality control. The main functions Estimate sample distribution and calculate statistical divergence among samples, and visualize the distance matrix through MDS plots. BugReports: https://github.com/epurdom/GloScope/issues License: Artistic-2.0 Encoding: UTF-8 Imports: utils, stats, MASS, mclust, ggplot2, RANN, FNN, BiocParallel, mvnfast, SingleCellExperiment, rlang, RColorBrewer, pheatmap, vegan, cluster, boot, permute Depends: R (>= 4.4.0) Suggests: BiocStyle, testthat (>= 3.0.0), knitr, rmarkdown, zellkonverter VignetteBuilder: knitr LazyData: false biocViews: DataRepresentation, QualityControl, RNASeq, Sequencing, Software, SingleCell RoxygenNote: 7.3.3 Config/testthat/edition: 3 Config/pak/sysreqs: zlib1g-dev Repository: https://bioc.r-universe.dev Date/Publication: 2026-04-28 13:01:31 UTC RemoteUrl: https://github.com/bioc/GloScope RemoteRef: HEAD RemoteSha: 15d93b858c644964066623c039dd8f51db017816 NeedsCompilation: no Packaged: 2026-07-04 12:29:29 UTC; root Author: Elizabeth Purdom [aut, cre], William Torous [aut] (ORCID: ), Hao Wang [aut] (ORCID: ), Boying Gong [aut] Maintainer: Elizabeth Purdom