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Multi Omic Master Regulator Analysis

Bioconductor version: Release (3.19)

This package implements the inference of candidate master regulator proteins from multi-omics' data (MOMA) algorithm, as well as ancillary analysis and visualization functions.

Author: Evan Paull [aut], Sunny Jones [aut, cre], Mariano Alvarez [aut]

Maintainer: Sunny Jones <sunnyjjones at>

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


To install this package, start R (version "4.4") and enter:

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


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


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

MOMA - Multi Omic Master Regulator Analysis HTML R Script
Reference Manual PDF


biocViews Clustering, FeatureExtraction, FunctionalGenomics, Network, NetworkEnrichment, NetworkInference, Software, SystemsBiology, Transcriptomics
Version 1.16.0
In Bioconductor since BioC 3.11 (R-4.0) (4 years)
License GPL-3
Depends R (>= 4.0)
Imports circlize, cluster, ComplexHeatmap, dplyr, ggplot2, graphics, grid, grDevices, magrittr, methods, MKmisc, MultiAssayExperiment, parallel, qvalue, RColorBrewer, readr, reshape2, rlang, stats, stringr, tibble, tidyr, utils
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Follow Installation instructions to use this package in your R session.

Source Package MOMA_1.16.0.tar.gz
Windows Binary
macOS Binary (x86_64) MOMA_1.16.0.tgz
macOS Binary (arm64) MOMA_1.16.0.tgz
Source Repository git clone
Source Repository (Developer Access) git clone
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