- recipe bioconductor-sctensor
Detection of cell-cell interaction from single-cell RNA-seq dataset by tensor decomposition
- Homepage
https://bioconductor.org/packages/3.14/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
2.4.0-0
,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
>=1.56.0,<1.57.0
bioconductor-annotationhub
>=3.2.0,<3.3.0
bioconductor-biocstyle
>=2.22.0,<2.23.0
bioconductor-category
>=2.60.0,<2.61.0
bioconductor-dose
>=3.20.0,<3.21.0
bioconductor-gostats
>=2.60.0,<2.61.0
bioconductor-meshdbi
>=1.30.0,<1.31.0
bioconductor-meshr
>=2.0.0,<2.1.0
bioconductor-reactome.db
>=1.77.0,<1.78.0
bioconductor-reactomepa
>=1.38.0,<1.39.0
bioconductor-s4vectors
>=0.32.0,<0.33.0
bioconductor-schex
>=1.8.0,<1.9.0
bioconductor-singlecellexperiment
>=1.16.0,<1.17.0
bioconductor-summarizedexperiment
>=1.24.0,<1.25.0
r-base
>=4.1,<4.2.0a0
r-cctensor
>=1.0.2
r-nntensor
>=1.1.5
r-rtensor
>=1.4.8
- Required By
Installation
With an activated Bioconda channel (see 2. 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)