MOMA

DOI: 10.18129/B9.bioc.MOMA    

This is the development version of MOMA; for the stable release version, see MOMA.

Multi Omic Master Regulator Analysis

Bioconductor version: Development (3.12)

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 "4.0") and enter:

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

# The following initializes usage of Bioc devel
BiocManager::install(version='devel')

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")

 

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

Details

biocViews Clustering, FeatureExtraction, FunctionalGenomics, Network, NetworkEnrichment, NetworkInference, Software, SystemsBiology, Transcriptomics
Version 1.1.2
In Bioconductor since BioC 3.11 (R-4.0) (< 6 months)
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
LinkingTo
Suggests BiocStyle, knitr, rmarkdown, testthat, viper
SystemRequirements
Enhances
URL
BugReports https://github.com/califano-lab/MOMA/issues
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_1.1.2.tar.gz
Windows Binary MOMA_1.1.2.zip
macOS 10.13 (High Sierra) MOMA_1.1.2.tgz
Source Repository git clone https://git.bioconductor.org/packages/MOMA
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/MOMA
Package Short Url https://bioconductor.org/packages/MOMA/
Package Downloads Report Download Stats

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