MOFA

DOI: 10.18129/B9.bioc.MOFA    

Multi-Omics Factor Analysis (MOFA)

Bioconductor version: Release (3.10)

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

Details

biocViews Bayesian, DimensionReduction, Software, Visualization
Version 1.2.0
In Bioconductor since BioC 3.9 (R-3.6) (0.5 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
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_1.2.0.tar.gz
Windows Binary MOFA_1.2.0.zip (32- & 64-bit)
Mac OS X 10.11 (El Capitan) MOFA_1.2.0.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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