This is the development version of MOFA2; for the stable release version, see MOFA2.
Multi-Omics Factor Analysis v2Bioconductor version: Development (3.22)
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.
Author: Ricard Argelaguet [aut, cre] ORCID: 0000-0003-3199-3722 , Damien Arnol [aut] ORCID: 0000-0003-2462-534X , Danila Bredikhin [aut] ORCID: 0000-0001-8089-6983 , Britta Velten [aut] ORCID: 0000-0002-8397-3515
Maintainer: Ricard Argelaguet <ricard.argelaguet at gmail.com>
Citation (from within R, entercitation("MOFA2")): Installation
To install this package, start R (version "4.5") and enter:
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
# The following initializes usage of Bioc devel
BiocManager::install(version='devel')
BiocManager::install("MOFA2")
For older versions of R, please refer to the appropriate Bioconductor release.
DocumentationTo view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("MOFA2")Follow Installation instructions to use this package in your R session.
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