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scGPS
This is the development version of scGPS; for the stable release version, see scGPS.
A complete analysis of single cell subpopulations, from identifying subpopulations to analysing their relationship (scGPS = single cell Global Predictions of Subpopulation)
Bioconductor version: Development (3.23)
The package implements two main algorithms to answer two key questions: a SCORE (Stable Clustering at Optimal REsolution) to find subpopulations, followed by scGPS to investigate the relationships between subpopulations.
Author: Quan Nguyen [aut, cre], Michael Thompson [aut], Anne Senabouth [aut]
Maintainer: Quan Nguyen <quan.nguyen at uq.edu.au>
citation("scGPS")):
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("scGPS")
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("scGPS")
Details
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Package Archives
Follow Installation instructions to use this package in your R session.