recipe bioconductor-sctensor

Detection of cell-cell interaction from single-cell RNA-seq dataset by tensor decomposition

Homepage

https://bioconductor.org/packages/3.13/bioc/html/scTensor.html

License

Artistic-2.0

Recipe

/bioconductor-sctensor/meta.yaml

The algorithm is based on the non-negative tucker decomposition (NTD2) of nnTensor.

package bioconductor-sctensor

Versions

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 >=1.54.0,<1.55.0

• bioconductor-annotationhub >=3.0.0,<3.1.0

• bioconductor-biocstyle >=2.20.0,<2.21.0

• bioconductor-category >=2.58.0,<2.59.0

• bioconductor-dose >=3.18.0,<3.19.0

• bioconductor-gostats >=2.58.0,<2.59.0

• bioconductor-meshdbi >=1.28.0,<1.29.0

• bioconductor-meshr >=1.28.0,<1.29.0

• bioconductor-reactome.db >=1.76.0,<1.77.0

• bioconductor-reactomepa >=1.36.0,<1.37.0

• bioconductor-s4vectors >=0.30.0,<0.31.0

• bioconductor-schex >=1.5.0,<1.6.0

• bioconductor-singlecellexperiment >=1.14.0,<1.15.0

• bioconductor-summarizedexperiment >=1.22.0,<1.23.0

• r-abind

• r-base >=4.1,<4.2.0a0

• r-biocmanager

• r-checkmate

• r-crayon

• r-ggplot2

• r-heatmaply

• r-igraph

• r-knitr

• r-nntensor

• r-outliers

• r-plotly

• r-plotrix

• r-rmarkdown

• r-rsqlite

• r-rtensor

• r-tagcloud

• r-visnetwork

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:

[![install with bioconda](https://img.shields.io/badge/install%20with-bioconda-brightgreen.svg?style=flat)](http://bioconda.github.io/recipes/bioconductor-sctensor/README.html)