scGPS
This package is for version 3.19 of Bioconductor; for the stable, up-to-date 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: 3.19
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 "4.4") and enter:
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
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
See More
Package Archives
Follow Installation instructions to use this package in your R session.