recipe bioconductor-hilda

Conducting statistical inference on comparing the mutational exposures of mutational signatures by using hierarchical latent Dirichlet allocation

Homepage:

https://bioconductor.org/packages/3.16/bioc/html/HiLDA.html

License:

GPL-3

Recipe:

/bioconductor-hilda/meta.yaml

A package built under the Bayesian framework of applying hierarchical latent Dirichlet allocation. It statistically tests whether the mutational exposures of mutational signatures (Shiraishi-model signatures) are different between two groups. The package also provides inference and visualization.

package bioconductor-hilda

Versions:

1.12.0-0,  1.8.0-2,  1.8.0-1,  1.8.0-0,  1.6.0-0,  1.4.0-2,  1.4.0-1,  1.4.0-0,  1.2.0-0, 

1.12.0-0,  1.8.0-2,  1.8.0-1,  1.8.0-0,  1.6.0-0,  1.4.0-2,  1.4.0-1,  1.4.0-0,  1.2.0-0,  1.0.0-0

Depends:

• bioconductor-biocgenerics >=0.44.0,<0.45.0

• bioconductor-biostrings >=2.66.0,<2.67.0

• bioconductor-bsgenome.hsapiens.ucsc.hg19 >=1.4.0,<1.5.0

• bioconductor-genomicfeatures >=1.50.0,<1.51.0

• bioconductor-genomicranges >=1.50.0,<1.51.0

• bioconductor-s4vectors >=0.36.0,<0.37.0

• bioconductor-txdb.hsapiens.ucsc.hg19.knowngene >=3.2.0,<3.3.0

• bioconductor-xvector >=0.38.0,<0.39.0

• libblas >=3.9.0,<4.0a0

• libgcc-ng >=12

• liblapack >=3.9.0,<4.0a0

• libstdcxx-ng >=12

• r-abind

• r-base >=4.2,<4.3.0a0

• r-cowplot

• r-forcats

• r-ggplot2

• r-r2jags

• r-rcpp

• r-stringr

• r-tidyr

Required By:

• bioconductor-selectksigs

Installation

With an activated Bioconda channel (see set-up-channels), install with:

conda install bioconductor-hilda

and update with:

conda update bioconductor-hilda

or use the docker container:

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

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

Download stats

Link to this page

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