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scGOclust
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]
[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 07 Nov. 2024.
Previous versions and publish date:
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Other R packages that scGOclust depends,
imports, suggests or enhances
Complete documentation for scGOclust
Functions, R codes and Examples using
the scGOclust R package
Some associated functions: analyzeGOSeurat . cellTypeGOCorr . crossSpeciesCellTypeGOCorr . dme_subset . dme_tbl . ensemblToGo . getCellTypeGO . getCellTypeSharedGO . getCellTypeSharedTerms . globalvariables . makeGOSeurat . mmu_subset . mmu_tbl . plotCellTypeCorrHeatmap . plotCellTypeSankey .
Some associated R codes: data.R . function.R . global.R . Full scGOclust package functions and examples
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