MOMA
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 gmail.com>
Citation (from within R, enter
citation("MOMA")
):
Installation
To install this package, start R (version "4.4") 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 | ||
NEWS | Text |
Details
biocViews | Clustering, FeatureExtraction, FunctionalGenomics, Network, NetworkEnrichment, NetworkInference, Software, SystemsBiology, Transcriptomics |
Version | 1.16.0 |
In Bioconductor since | BioC 3.11 (R-4.0) (4.5 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
Suggests | BiocStyle, knitr, rmarkdown, testthat, viper |
Linking To | |
Enhances | |
Depends On Me | |
Imports Me | |
Suggests Me | |
Links To Me | |
Build Report | Build Report |
Package Archives
Follow Installation instructions to use this package in your R session.
Source Package | MOMA_1.16.0.tar.gz |
Windows Binary (x86_64) | MOMA_1.16.0.zip (64-bit only) |
macOS Binary (x86_64) | MOMA_1.16.0.tgz |
macOS Binary (arm64) | MOMA_1.16.0.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 |