Package: r-bioc-mofa2
Version: 1.16.0+ds-5
Architecture: all
Maintainer: Ubuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com>
Original-Maintainer: Debian R Packages Maintainers <r-pkg-team@alioth-lists.debian.net>
Installed-Size: 3106
Depends: r-api-4.0, r-api-bioc-3.20, r-bioc-rhdf5, r-cran-dplyr, r-cran-tidyr, r-cran-reshape2, r-cran-pheatmap, r-cran-ggplot2, r-cran-rcolorbrewer, r-cran-cowplot, r-cran-ggrepel, r-cran-reticulate, r-bioc-hdf5array, r-cran-magrittr, r-cran-forcats, r-cran-corrplot, r-bioc-delayedarray, r-cran-rtsne, r-cran-uwot, r-cran-stringi
Suggests: r-cran-knitr, r-cran-testthat, r-cran-seurat, r-cran-seuratobject, r-cran-ggpubr, r-cran-foreach, r-cran-psych, r-bioc-multiassayexperiment, r-bioc-summarizedexperiment, r-bioc-singlecellexperiment, r-cran-ggrastr, r-cran-mvtnorm, r-cran-ggally, r-cran-rmarkdown, r-cran-data.table, r-cran-tidyverse, r-bioc-biocstyle, r-cran-matrix, r-cran-markdown, r-bioc-basilisk
Section: gnu-r
Priority: optional
Homepage: https://bioconductor.org/packages/MOFA2/
Description: Multi-Omics Factor Analysis v2
 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.
