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Bioconductor - MOMA

MOMA

This is the released version of MOMA; for the devel version, see MOMA.

Multi Omic Master Regulator Analysis

Bioconductor version: Release (3.21)

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 gmail.com>

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

To install this package, start R (version "4.5") and enter:


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

BiocManager::install("MOMA")

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("MOMA")

Details biocViews Clustering, FeatureExtraction, FunctionalGenomics, Network, NetworkEnrichment, NetworkInference, Software, SystemsBiology, Transcriptomics Version 1.20.0 In Bioconductor since BioC 3.11 (R-4.0) (5 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 System Requirements URL Bug Reports https://github.com/califano-lab/MOMA/issues See More Package Archives

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

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