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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.
Version: | 0.2.1 |
Depends: | R (≥ 2.10) |
Imports: | limma, Seurat (≥ 5.0.0), biomaRt, dplyr, magrittr, stats, tibble, tidyr, Matrix, utils, networkD3, slanter |
Suggests: | knitr, devtools, pheatmap, rmarkdown, httr |
Published: | 2024-01-24 |
DOI: | 10.32614/CRAN.package.scGOclust |
Author: | Yuyao Song [aut, cre, ctb], Irene Papatheodorou [aut, ths] |
Maintainer: | Yuyao Song <ysong at ebi.ac.uk> |
BugReports: | https://github.com/Papatheodorou-Group/scGOclust/issues |
License: | GPL (≥ 3) |
URL: | https://github.com/Papatheodorou-Group/scGOclust |
NeedsCompilation: | no |
Materials: | README |
CRAN checks: | scGOclust results |
Reference manual: | scGOclust.pdf |
Vignettes: |
scGOclust_vignette |
Package source: | scGOclust_0.2.1.tar.gz |
Windows binaries: | r-devel: scGOclust_0.2.1.zip, r-release: scGOclust_0.2.1.zip, r-oldrel: scGOclust_0.2.1.zip |
macOS binaries: | r-release (arm64): scGOclust_0.2.1.tgz, r-oldrel (arm64): scGOclust_0.2.1.tgz, r-release (x86_64): scGOclust_0.2.1.tgz, r-oldrel (x86_64): scGOclust_0.2.1.tgz |
Old sources: | scGOclust archive |
Please use the canonical form https://CRAN.R-project.org/package=scGOclust to link to this page.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.