This is the development version of GloScope; for the stable release version, see GloScope.
Population-level Representation on scRNA-Seq dataBioconductor version: Development (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: 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, entercitation("GloScope")): Installation
To install this package, start R (version "4.5") 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.
DocumentationTo view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("GloScope")Follow Installation instructions to use this package in your R session.
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