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GloScope

This is the development version of GloScope; for the stable release version, see GloScope.

Population-level Representation on scRNA-Seq data


Bioconductor version: Development (3.19)

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

Maintainer: William Torous <wtorous at berkeley.edu>

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

Installation

To install this package, start R (version "4.4") and enter:


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

# The following initializes usage of Bioc devel
BiocManager::install(version='devel')

BiocManager::install("GloScope")

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

Documentation

Reference Manual PDF

Details

biocViews DataRepresentation, QualityControl, RNASeq, Sequencing, SingleCell, Software
Version 1.1.0
In Bioconductor since BioC 3.18 (R-4.3) (< 6 months)
License Artistic-2.0
Depends R (>= 4.3.0)
Imports utils, stats, MASS, mclust, ggplot2, RANN, FNN, BiocParallel, mvnfast, SingleCellExperiment, rlang
System Requirements
URL
Bug Reports https://github.com/epurdom/GloScope/issues
See More
Suggests BiocStyle, testthat (>= 3.0.0), knitr, rmarkdown, zellkonverter
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Package Archives

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

Source Package
Windows Binary
macOS Binary (x86_64)
macOS Binary (arm64)
Source Repository git 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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