recipe bioconductor-mofa2

Multi-Omics Factor Analysis v2

Homepage:

https://bioconductor.org/packages/3.16/bioc/html/MOFA2.html

License:

file LICENSE

Recipe:

/bioconductor-mofa2/meta.yaml

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

• r-corrplot

• r-cowplot

• r-dplyr

• r-forcats

• r-ggplot2

• r-ggrepel

• r-magrittr

• r-pheatmap

• r-rcolorbrewer

• r-reshape2

• r-reticulate

• r-rtsne

• r-stringi

• r-tidyr

• r-uwot

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:

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