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 <[email protected]>
LicenseGPL-3
Version1.0.0
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:
source("https://bioconductor.org/biocLite.R")
biocLite("scGPS")

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scGPS documentation built on Oct. 31, 2019, 2:23 a.m.