- recipe bioconductor-sctensor
Detection of cell-cell interaction from single-cell RNA-seq dataset by tensor decomposition
- Homepage:
https://bioconductor.org/packages/3.16/bioc/html/scTensor.html
- License:
Artistic-2.0
- Recipe:
The algorithm is based on the non-negative tucker decomposition (NTD2) of nnTensor.
- package bioconductor-sctensor¶
-
- Versions:
2.8.0-0
,2.4.0-0
,2.2.0-0
,2.0.0-1
,2.0.0-0
,1.4.0-0
,1.2.0-0
,1.0.12-0
- Depends:
bioconductor-annotationdbi
>=1.60.0,<1.61.0
bioconductor-annotationhub
>=3.6.0,<3.7.0
bioconductor-biocstyle
>=2.26.0,<2.27.0
bioconductor-category
>=2.64.0,<2.65.0
bioconductor-dose
>=3.24.0,<3.25.0
bioconductor-gostats
>=2.64.0,<2.65.0
bioconductor-meshdbi
>=1.34.0,<1.35.0
bioconductor-meshr
>=2.4.0,<2.5.0
bioconductor-reactome.db
>=1.82.0,<1.83.0
bioconductor-reactomepa
>=1.42.0,<1.43.0
bioconductor-s4vectors
>=0.36.0,<0.37.0
bioconductor-schex
>=1.12.0,<1.13.0
bioconductor-singlecellexperiment
>=1.20.0,<1.21.0
bioconductor-summarizedexperiment
>=1.28.0,<1.29.0
r-base
>=4.2,<4.3.0a0
r-cctensor
>=1.0.2
r-nntensor
>=1.1.5
r-rtensor
>=1.4.8
- Required By:
Installation
With an activated Bioconda channel (see set-up-channels), install with:
conda install bioconductor-sctensor
and update with:
conda update bioconductor-sctensor
or use the docker container:
docker pull quay.io/biocontainers/bioconductor-sctensor:<tag>
(see bioconductor-sctensor/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-sctensor/README.html)