- recipe bioconductor-hilda
Conducting statistical inference on comparing the mutational exposures of mutational signatures by using hierarchical latent Dirichlet allocation
- Homepage:
- License:
GPL-3
- Recipe:
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-base
>=4.2,<4.3.0a0
- Required By:
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¶
Render an badge with the following MarkDown:
[](http://bioconda.github.io/recipes/bioconductor-hilda/README.html)