scGPS: A complete analysis of single cell subpopulations, from identifying subpopulations to analysing their relationship (scGPS = single cell Global Predictions of Subpopulation)

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.

Package details

AuthorQuan Nguyen [aut, cre], Michael Thompson [aut], Anne Senabouth [aut]
Bioconductor views Clustering Coverage DataImport Sequencing SingleCell
MaintainerQuan Nguyen <quan.nguyen@uq.edu.au>
LicenseGPL-3
Version1.4.0
URL https://github.com/IMB-Computational-Genomics-Lab/scGPS/
Package repositoryView on Bioconductor
Installation Install the latest version of this package by entering the following in R:
if (!requireNamespace("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

BiocManager::install("scGPS")

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scGPS documentation built on Nov. 8, 2020, 5:22 p.m.