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Bioconductor 3.22 Released

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GloScope

This is thereleased version of GloScope; for the devel version, seeGloScope.

Population-level Representation on scRNA-Seq data

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DOI: 10.18129/B9.bioc.GloScope


Bioconductor version: Release (3.22)

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, entercitation("GloScope")):

Installation

To install this package, start R (version "4.5") and enter:

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

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

Documentation

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

browseVignettes("GloScope")
GloScopeHTMLR Script
Reference ManualPDF
NEWSText

Need some help? Ask on the Bioconductor Support site!

Details

biocViewsDataRepresentation,QualityControl,RNASeq,Sequencing,SingleCell,Software
Version2.0.1
In Bioconductor sinceBioC 3.18 (R-4.3) (2 years)
LicenseArtistic-2.0
DependsR (>= 4.4.0)
Importsutils, 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
SuggestsBiocStyle,testthat (>= 3.0.0),knitr,rmarkdown,zellkonverter
Linking To
Enhances
Depends On Me
Imports Me
Suggests Me
Links To Me
Build ReportBuild Report

Package Archives

FollowInstallation instructions to use this package in your R session.

Source PackageGloScope_2.0.1.tar.gz
Windows Binary (x86_64) GloScope_1.7.1.zip
macOS Binary (x86_64)GloScope_2.0.1.tgz
macOS Binary (arm64)GloScope_2.0.1.tgz
Source Repositorygit clone https://git.bioconductor.org/packages/GloScope
Source Repository (Developer Access)git clone git@git.bioconductor.org:packages/GloScope
Bioc Package Browserhttps://code.bioconductor.org/browse/GloScope/
Package Short Urlhttps://bioconductor.org/packages/GloScope/
Package Downloads ReportDownload Stats
Old Source Packages for BioC 3.22Source Archive

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