- recipe bioconductor-mofa2
Multi-Omics Factor Analysis v2
- Homepage:
- License:
file LICENSE
- Recipe:
The MOFA2 package contains a collection of tools for training and analysing multi-omic factor analysis (MOFA). MOFA is a probabilistic factor model that aims to identify principal axes of variation from data sets that can comprise multiple omic layers and/or groups of samples. Additional time or space information on the samples can be incorporated using the MEFISTO framework, which is part of MOFA2. Downstream analysis functions to inspect molecular features underlying each factor, vizualisation, imputation etc are available.
- package bioconductor-mofa2¶
-
- Versions:
1.8.0-0
,1.4.0-0
,1.2.0-0
,1.0.1-0
,1.0.0-1
- Depends:
bioconductor-basilisk
>=1.9.0,<1.10.0
bioconductor-delayedarray
>=0.24.0,<0.25.0
bioconductor-hdf5array
>=1.26.0,<1.27.0
bioconductor-rhdf5
>=2.42.0,<2.43.0
r-base
>=4.2,<4.3.0a0
- Required By:
Installation
With an activated Bioconda channel (see set-up-channels), install with:
conda install bioconductor-mofa2
and update with:
conda update bioconductor-mofa2
or use the docker container:
docker pull quay.io/biocontainers/bioconductor-mofa2:<tag>
(see bioconductor-mofa2/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-mofa2/README.html)