Package: GloScope 2.3.0

Elizabeth Purdom

GloScope: Population-level Representation on scRNA-Seq data

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.

Authors:Elizabeth Purdom [aut, cre], William Torous [aut], Hao Wang [aut], Boying Gong [aut]

GloScope_2.3.0.tar.gz
GloScope_2.3.0.zip(r-4.7)GloScope_2.3.0.zip(r-4.6)GloScope_2.3.0.zip(r-4.5)
GloScope_2.3.0.tgz(r-4.6-any)GloScope_2.3.0.tgz(r-4.5-any)
GloScope_2.3.0.tar.gz(r-4.7-any)GloScope_2.3.0.tar.gz(r-4.6-any)
GloScope_2.3.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
GloScope/json (API)
NEWS

# Install 'GloScope' in R:

install.packages('GloScope', repos = c('https://bioc.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/epurdom/gloscope/issues

Datasets:

example_SCE - SingleCellExperiment containing example inputs to GloScope
example_SCE_small - SingleCellExperiment containing example inputs to GloScope

On BioConductor:GloScope-2.3.0(bioc 3.24)GloScope-2.2.0(bioc 3.23)

datarepresentation qualitycontrol rnaseq sequencing software singlecell

6.96 score 7 stars 87 scripts 308 downloads 8 exports 57 dependencies

Last updated from:15d93b858c. Checks:1 NOTE, 9 OK. Indexed: yes.

Target	Result	Time
bioc-checks	NOTE	178
linux-devel-x86_64	OK	723
source / vignettes	OK	324
linux-release-x86_64	OK	691
macos-release-arm64	OK	365
macos-oldrel-arm64	OK	419
windows-devel	OK	840
windows-release	OK	811
windows-oldrel	OK	778
wasm-release	OK	163

Exports:bootCI bootGloscope getMetrics gloscope gloscopeProp plotCI plotHeatmap plotMDS

Dependencies:abind BH Biobase BiocGenerics BiocParallel boot cli cluster codetools cpp11 DelayedArray farver FNN formatR futile.logger futile.options generics GenomicRanges ggplot2 glue gtable IRanges isoband labeling lambda.r lattice lifecycle MASS Matrix MatrixGenerics matrixStats mclust mgcv mvnfast nlme permute pheatmap R6 RANN RColorBrewer Rcpp RcppArmadillo rlang S4Arrays S4Vectors S7 scales Seqinfo SingleCellExperiment snow SparseArray SummarizedExperiment vctrs vegan viridisLite withr XVector

scRNA-Seq Population-level Analysis using GloScope

Hao Wang, William Torous, Elizabeth Purdom

Rendered fromGloScopeTutorial.Rmdusingknitr::rmarkdownon May 30 2026.

Last update: 2025-09-28
Started: 2023-08-16

Citation

Development and contributors

Readme and manuals

Help Manual

Help page	Topics
SingleCellExperiment containing example inputs to GloScope	example_SCE example_SCE_small
Calculate metrics on separation in distance matrix due to grouping variable	bootCI bootGloscope getMetrics
Calculate statistical divergence between all sample pairs	gloscope
Calculate divergence between all sample pairs' cell type proportion	gloscopeProp
Plot confidence intervals	plotCI
Plot a heatmap of the GloScope represenation	plotHeatmap
Plot the multidimensional scaling of the GloScope represenation	plotMDS