bioFAM/MOFA2: 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.

Getting started

Package details

Bioconductor views Bayesian DimensionReduction Visualization
MaintainerRicard Argelaguet <ricard.argelaguet@gmail.com>
Licensefile LICENSE
Version1.7.4
URL https://biofam.github.io/MOFA2/index.html
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("remotes")
remotes::install_github("bioFAM/MOFA2")
bioFAM/MOFA2 documentation built on Oct. 18, 2022, 4:43 a.m.