recipe bioconductor-sc3

Single-Cell Consensus Clustering

Homepage

https://bioconductor.org/packages/3.14/bioc/html/SC3.html

License

GPL-3

Recipe

/bioconductor-sc3/meta.yaml

Links

biotools: sc3

A tool for unsupervised clustering and analysis of single cell RNA-Seq data.

package bioconductor-sc3

Versions

1.22.0-1,  1.22.0-0,  1.20.0-0,  1.18.0-1,  1.18.0-0,  1.16.0-0,  1.14.0-0,  1.12.0-1,  1.10.0-0, 

1.22.0-1,  1.22.0-0,  1.20.0-0,  1.18.0-1,  1.18.0-0,  1.16.0-0,  1.14.0-0,  1.12.0-1,  1.10.0-0,  1.8.0-0,  1.7.6-0

Depends

• bioconductor-biocgenerics >=0.40.0,<0.41.0

• bioconductor-s4vectors >=0.32.0,<0.33.0

• bioconductor-singlecellexperiment >=1.16.0,<1.17.0

• bioconductor-summarizedexperiment >=1.24.0,<1.25.0

• libblas >=3.8.0,<4.0a0

• libgcc-ng >=10.3.0

• liblapack >=3.8.0,<4.0a0

• libstdcxx-ng >=10.3.0

• r-base >=4.1,<4.2.0a0

• r-cluster

• r-doparallel

• r-dorng

• r-e1071

• r-foreach

• r-ggplot2

• r-pheatmap >=1.0.8

• r-rcpp >=0.11.1

• r-rcpparmadillo

• r-robustbase

• r-rocr

• r-rrcov

• r-shiny

• r-writexls

Required By

• bioconductor-feast

• sc3-scripts

Installation

With an activated Bioconda channel (see 2. Set up channels), install with:

conda install bioconductor-sc3

and update with:

conda update bioconductor-sc3

or use the docker container:

docker pull quay.io/biocontainers/bioconductor-sc3:<tag>

(see bioconductor-sc3/tags for valid values for <tag>)

Download stats

Link to this page

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