DOI: 10.18129/B9.bioc.MOFA    

This is the development version of MOFA; for the stable release version, see MOFA.

Multi-Omics Factor Analysis (MOFA)

Bioconductor version: Development (3.13)

Multi-Omics Factor Analysis: an unsupervised framework for the integration of multi-omics data sets.

Author: Ricard Argelaguet, Britta Velten, Damien Arnol, Florian Buettner, Wolfgang Huber, Oliver Stegle

Maintainer: Britta Velten <britta.velten at>

Citation (from within R, enter citation("MOFA")):


To install this package, start R (version "4.1") and enter:

if (!requireNamespace("BiocManager", quietly = TRUE))

# The following initializes usage of Bioc devel


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HTML R Script Introduction to MOFA
HTML R Script MOFA: Application to a single-cell multi-omics data set
HTML R Script MOFA: applications to a multi-omics data set of CLL patients
HTML R Script MOFA: How to assess model robustness and do model selection
PDF   Reference Manual
Text   NEWS


biocViews Bayesian, DimensionReduction, Software, Visualization
Version 1.5.0
In Bioconductor since BioC 3.9 (R-3.6) (2 years)
License LGPL-3 | file LICENSE
Depends R (>= 3.5)
Imports rhdf5, dplyr, reshape2, pheatmap, corrplot, ggplot2, ggbeeswarm, methods, scales, GGally, RColorBrewer, cowplot, ggrepel, MultiAssayExperiment, Biobase, doParallel, foreach, reticulate, grDevices, stats, utils
Suggests knitr, MOFAdata
SystemRequirements Python (>=2.7.0), numpy, pandas, h5py, scipy, sklearn, mofapy
Depends On Me
Imports Me
Suggests Me
Links To Me
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Source Package MOFA_1.5.0.tar.gz
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