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Bioconductor - GloScope

GloScope

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

Population-level Representation on scRNA-Seq data

Bioconductor version: Release (3.21)

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] ORCID: 0000-0001-5668-5510 , Hao Wang [aut] ORCID: 0000-0002-0749-474X , 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 "4.5") 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")
Details biocViews DataRepresentation, QualityControl, RNASeq, Sequencing, SingleCell, Software Version 1.6.0 In Bioconductor since BioC 3.18 (R-4.3) (1.5 years) License Artistic-2.0 Depends R (>= 4.4.0) 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 Package Archives

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


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