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MOMA

Multi Omic Master Regulator Analysis

Bioconductor version: Release (3.17)

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 "4.3") 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")
MOMA - Multi Omic Master Regulator Analysis HTML R Script
Reference Manual PDF
NEWS Text

Details

biocViews Clustering, FeatureExtraction, FunctionalGenomics, Network, NetworkEnrichment, NetworkInference, Software, SystemsBiology, Transcriptomics
Version 1.12.0
In Bioconductor since BioC 3.11 (R-4.0) (3.5 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
Linking To
Suggests BiocStyle, knitr, rmarkdown, testthat, viper
System Requirements
Enhances
URL
Bug Reports https://github.com/califano-lab/MOMA/issues
See More
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 MOMA_1.12.0.tar.gz
Windows Binary MOMA_1.12.0.zip
macOS Binary (x86_64) MOMA_1.12.0.tgz
macOS Binary (arm64) MOMA_1.12.0.tgz
Source Repository git clone https://git.bioconductor.org/packages/MOMA
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/MOMA
Bioc Package Browser https://code.bioconductor.org/browse/MOMA/
Package Short Url https://bioconductor.org/packages/MOMA/
Package Downloads Report Download Stats