- recipe bioconductor-scannotatr
Pretrained learning models for cell type prediction on single cell RNA-sequencing data
- Homepage:
https://bioconductor.org/packages/3.16/bioc/html/scAnnotatR.html
- License:
MIT + file LICENSE
- Recipe:
The package comprises a set of pretrained machine learning models to predict basic immune cell types. This enables all users to quickly get a first annotation of the cell types present in their dataset without requiring prior knowledge. scAnnotatR also allows users to train their own models to predict new cell types based on specific research needs.
- package bioconductor-scannotatr¶
-
- Versions:
1.4.0-0
,1.0.0-0
- Depends:
bioconductor-annotationhub
>=3.6.0,<3.7.0
bioconductor-singlecellexperiment
>=1.20.0,<1.21.0
bioconductor-summarizedexperiment
>=1.28.0,<1.29.0
r-base
>=4.2,<4.3.0a0
- Required By:
Installation
With an activated Bioconda channel (see set-up-channels), install with:
conda install bioconductor-scannotatr
and update with:
conda update bioconductor-scannotatr
or use the docker container:
docker pull quay.io/biocontainers/bioconductor-scannotatr:<tag>
(see bioconductor-scannotatr/tags for valid values for
<tag>
)
Download stats¶
Link to this page¶
Render an badge with the following MarkDown:
[](http://bioconda.github.io/recipes/bioconductor-scannotatr/README.html)