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scGOclust  

Measuring Cell Type Similarity with Gene Ontology in Single-Cell RNA-Seq
View on CRAN: Click here


Download and install scGOclust package within the R console
Install from CRAN:
install.packages("scGOclust")

Install from Github:
library("remotes")
install_github("cran/scGOclust")

Install by package version:
library("remotes")
install_version("scGOclust", "0.2.1")



Attach the package and use:
library("scGOclust")
Maintained by
Yuyao Song
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2023-06-01
Latest Update: 2024-01-24
Description:
Traditional methods for analyzing single cell RNA-seq datasets focus solely on gene expression, but this package introduces a novel approach that goes beyond this limitation. Using Gene Ontology terms as features, the package allows for the functional profile of cell populations, and comparison within and between datasets from the same or different species. Our approach enables the discovery of previously unrecognized functional similarities and differences between cell types and has demonstrated success in identifying cell types' functional correspondence even between evolutionarily distant species.
How to cite:
Yuyao Song (2023). scGOclust: Measuring Cell Type Similarity with Gene Ontology in Single-Cell RNA-Seq. R package version 0.2.1, https://cran.r-project.org/web/packages/scGOclust. Accessed 15 Jul. 2026.
Previous versions and publish date:
(2026-07-09 07:01), 0.1.0 (2023-06-01 13:50), 0.1.2 (2023-10-02 12:30), 0.2.0 (2023-11-30 11:30)
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Complete documentation for scGOclust
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