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GloScope

This is the released version of GloScope; for the devel version, see GloScope.

All versions 3.24 (devel), 3.23 (release), 3.22, 3.21, 3.20, 3.19, 3.18

Population-level Representation on scRNA-Seq data


Bioconductor version: Release (3.23)

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.

Author: Elizabeth Purdom [aut, cre], William Torous [aut] ORCID iD ORCID: 0000-0001-5668-5510 , Hao Wang [aut] ORCID iD ORCID: 0000-0002-0749-474X , Boying Gong [aut]

Maintainer: Elizabeth Purdom <epurdom at stat.berkeley.edu>

Citation (from within R, enter citation("GloScope")):

Elizabeth Purdom, William Torous, Hao Wang, Boying Gong. GloScope: Population-level Representation on scRNA-Seq data. doi:10.18129/B9.bioc.GloScope, R package version 2.2.0, https://bioconductor.org/packages/GloScope.

Generated from the package metadata; it may differ from the package's own citation.

Installation

To install this package, start R (version "4.6") and enter:

if (!require("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

BiocManager::install("GloScope")

For older versions of R, please refer to the appropriate Bioconductor release.

Documentation

To view documentation for the version of this package installed in your system, start R and enter:

browseVignettes("GloScope")
GloScope HTML R Script
Reference ManualPDF
NEWSText

Details

biocViews DataRepresentation, QualityControl, RNASeq, Sequencing, SingleCell, Software
Version2.2.0
In Bioconductor sinceBioC 3.18 (R-4.3) (3 years)
License Artistic-2.0
Depends R (>= 4.4.0)
Imports utils, stats, MASS, mclust, ggplot2, RANN, FNN, BiocParallel, mvnfast, SingleCellExperiment, rlang, RColorBrewer, pheatmap, vegan, cluster, boot, permute
System Requirements
URL
Bug Reportshttps://github.com/epurdom/GloScope/issues
See More
Suggests BiocStyle, testthat (>= 3.0.0), knitr, rmarkdown, zellkonverter
Linking To
Enhances
Depends On Me
Imports Me
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Build Report Build Report, r-universe

Package Archives

Follow Installation instructions to use this package in your R session.

Source Package GloScope_2.2.0.tar.gz
Windows Binary (x86_64) GloScope_2.2.0.zip
macOS Binary (big-sur-x86_64) GloScope_2.2.0.tgz
macOS Binary (sonoma-arm64) GloScope_2.2.0.tgz
Source Repositorygit clone https://git.bioconductor.org/packages/GloScope
Source Repository (Developer Access)git clone git@git.bioconductor.org:packages/GloScope
Package Short Url https://bioconductor.org/packages/GloScope/
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