This is the released version of scGPS; for the devel 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: Release (3.21)
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 (from within R, entercitation("scGPS")): Installation
To install this package, start R (version "4.5") 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.
DocumentationTo view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("scGPS")Follow Installation instructions to use this package in your R session.
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