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MOMA

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

All versions 3.24 (devel), 3.23 (release), 3.22, 3.21, 3.20, 3.19, 3.18, 3.17, 3.16, 3.15, 3.14, 3.13, 3.12, 3.11

Multi Omic Master Regulator Analysis


Bioconductor version: Development (3.24)

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")):

Evan Paull, Sunny Jones, Mariano Alvarez. MOMA: Multi Omic Master Regulator Analysis. doi:10.18129/B9.bioc.MOMA, R package version 1.25.0, https://bioconductor.org/packages/MOMA.

Generated from the package metadata; it may differ from the package's own citation.

Installation

To install this package, start R (version "4.6") and enter:

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

## The following initializes the development version of Bioconductor
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")
MOMA - Multi Omic Master Regulator Analysis HTML R Script
Reference ManualPDF
NEWSText

Details

biocViews Clustering, FeatureExtraction, FunctionalGenomics, Network, NetworkEnrichment, NetworkInference, Software, SystemsBiology, Transcriptomics
Version1.25.0
In Bioconductor sinceBioC 3.11 (R-4.0) (6.5 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 Reportshttps://github.com/califano-lab/MOMA/issues
See More
Suggests BiocStyle, knitr, rmarkdown, testthat, viper
Linking To
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Build Report Build Report, r-universe

Package Archives

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

Source Package MOMA_1.25.0.tar.gz
Windows Binary (x86_64) MOMA_1.25.0.zip
macOS Binary (big-sur-x86_64) MOMA_1.25.0.tgz
macOS Binary (sonoma-arm64) MOMA_1.25.0.tgz
Source Repositorygit 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 ReportDownload Stats