recipe bioconductor-mimosa

Mixture Models for Single-Cell Assays

Homepage

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

License

MIT + file LICENSE

Recipe

/bioconductor-mimosa/meta.yaml

Modeling count data using Dirichlet-multinomial and beta-binomial mixtures with applications to single-cell assays.

package bioconductor-mimosa

Versions

1.32.0-1,  1.32.0-0,  1.30.0-0,  1.28.1-0,  1.28.0-0,  1.26.0-0,  1.24.0-0,  1.22.0-1,  1.20.1-0, 

1.32.0-1,  1.32.0-0,  1.30.0-0,  1.28.1-0,  1.28.0-0,  1.26.0-0,  1.24.0-0,  1.22.0-1,  1.20.1-0,  1.20.0-0

Depends

• bioconductor-biobase >=2.54.0,<2.55.0

• 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-coda

• r-data.table

• r-dplyr

• r-formula

• r-ggplot2

• r-mass

• r-mcmcpack

• r-modeest

• r-plyr

• r-pracma

• r-rcpp

• r-rcpparmadillo

• r-reshape

• r-rlang

• r-scales

• r-testthat

• r-tidyr

Required By

Installation

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

conda install bioconductor-mimosa

and update with:

conda update bioconductor-mimosa

or use the docker container:

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

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

Download stats

Link to this page

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