The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.

scGOclust

Leveraging Gene Ontology to Measure Cell Type Similarity Between Single Cell RNA-Seq Datasets

Author & Maintainer: Yuyao Song ysong@ebi.ac.uk

cran downloads
cran downloads

Note main branch version is compatible with Seurat and SeuratObject >= V5.0. If you are still using V4.0, please go to release scGOclust_V0.1.3.

Installation

  1. First create the conda environment. Mamba is recommended as a faster alternative for conda.

    conda env create -f scGOclust_conda_7Dec2022.yml

  2. Then, open R under this environment, and install several packages not in conda:

    remotes::install_github('satijalab/seurat-wrappers'), install.packages("pheatmap", "slanter")

  3. Finally, install scGOclust from GitHub:

    devtools::install_github("Papatheodorou-Group/scGOclust", ref = "main")

Usage

This package operates on pairs of Seurat objects

Refer to vignettes for usage examples

License: GPLv3.0

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.
Health stats visible at Monitor.