GloScope

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

Population-level Representation on scRNA-Seq data

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DOI: 10.18129/B9.bioc.GloScope

Bioconductor version: Development (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")):

Installation

To install this package, start R (version "4.6") 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.