- recipe bioconductor-sctensor
Detection of cell-cell interaction from single-cell RNA-seq dataset by tensor decomposition
- Homepage:
https://bioconductor.org/packages/3.18/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:
2.12.0-0,2.10.0-0,2.8.0-0,2.4.0-0,2.2.0-0,2.0.0-1,2.0.0-0,1.4.0-0,1.2.0-0,2.12.0-0,2.10.0-0,2.8.0-0,2.4.0-0,2.2.0-0,2.0.0-1,2.0.0-0,1.4.0-0,1.2.0-0,1.0.12-0- depends bioconductor-annotationdbi:
>=1.64.0,<1.65.0- depends bioconductor-annotationhub:
>=3.10.0,<3.11.0- depends bioconductor-biocstyle:
>=2.30.0,<2.31.0- depends bioconductor-category:
>=2.68.0,<2.69.0- depends bioconductor-dose:
>=3.28.0,<3.29.0- depends bioconductor-gostats:
>=2.68.0,<2.69.0- depends bioconductor-meshdbi:
>=1.38.0,<1.39.0- depends bioconductor-meshr:
>=2.8.0,<2.9.0- depends bioconductor-reactome.db:
>=1.86.0,<1.87.0- depends bioconductor-reactomepa:
>=1.46.0,<1.47.0- depends bioconductor-s4vectors:
>=0.40.0,<0.41.0- depends bioconductor-schex:
>=1.16.0,<1.17.0- depends bioconductor-singlecellexperiment:
>=1.24.0,<1.25.0- depends bioconductor-summarizedexperiment:
>=1.32.0,<1.33.0- depends r-abind:
- depends r-base:
>=4.3,<4.4.0a0- depends r-biocmanager:
- depends r-cctensor:
>=1.0.2- depends r-checkmate:
- depends r-crayon:
- depends r-ggplot2:
- depends r-heatmaply:
- depends r-igraph:
- depends r-knitr:
- depends r-nntensor:
>=1.1.5- depends r-outliers:
- depends r-plotly:
- depends r-plotrix:
- depends r-rmarkdown:
- depends r-rsqlite:
- depends r-rtensor:
>=1.4.8- depends r-tagcloud:
- depends r-visnetwork:
- requirements:
- additional platforms:
Installation
You need a conda-compatible package manager (currently either micromamba, mamba, or conda) and the Bioconda channel already activated (see set-up-channels).
While any of above package managers is fine, it is currently recommended to use either micromamba or mamba (see here for installation instructions). We will show all commands using mamba below, but the arguments are the same for the two others.
Given that you already have a conda environment in which you want to have this package, install with:
mamba install bioconductor-sctensor and update with:: mamba update bioconductor-sctensor
To create a new environment, run:
mamba create --name myenvname bioconductor-sctensor
with
myenvnamebeing a reasonable name for the environment (see e.g. the mamba docs for details and further options).Alternatively, 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)
