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:

/bioconductor-sctensor/meta.yaml

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-abind

• r-base >=4.2,<4.3.0a0

• r-biocmanager

• r-cctensor >=1.0.2

• r-checkmate

• r-crayon

• r-ggplot2

• r-heatmaply

• r-igraph

• r-knitr

• r-nntensor >=1.1.5

• r-outliers

• r-plotly

• r-plotrix

• r-rmarkdown

• r-rsqlite

• r-rtensor >=1.4.8

• r-tagcloud

• r-visnetwork

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:

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