MOFA

DOI: 10.18129/B9.bioc.MOFA    

This package is for version 3.9 of Bioconductor; for the stable, up-to-date release version, see MOFA.

Multi-Omics Factor Analysis (MOFA)

Bioconductor version: 3.9

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 embl.de>

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

Installation

To install this package, start R (version "3.6") and enter:

if (!requireNamespace("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

BiocManager::install("MOFA")

For older versions of R, please refer to the appropriate Bioconductor release.

Documentation

To view documentation for the version of this package installed in your system, start R and enter:

browseVignettes("MOFA")

 

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 do assess model robustness and do model selection
PDF   Reference Manual
Text   NEWS
Text   LICENSE

Details

biocViews Bayesian, DimensionReduction, Software, Visualization
Version 1.0.0
In Bioconductor since BioC 3.9 (R-3.6) (< 6 months)
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
LinkingTo
Suggests knitr, MOFAdata
SystemRequirements Python (>=2.7.0), numpy, pandas, h5py, scipy, sklearn, mofapy
Enhances
URL
Depends On Me
Imports Me
Suggests Me
Links To Me
Build Report  

Package Archives

Follow Installation instructions to use this package in your R session.

Source Package MOFA_1.0.0.tar.gz
Windows Binary MOFA_1.0.0.zip (32- & 64-bit)
Mac OS X 10.11 (El Capitan) MOFA_1.0.0.tgz
Source Repository git clone https://git.bioconductor.org/packages/MOFA
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/MOFA
Package Short Url https://bioconductor.org/packages/MOFA/
Package Downloads Report Download Stats

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