This package is for version 3.12 of Bioconductor; for the stable, up-to-date release version, see MOMA.
Bioconductor version: 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")
):
To install this package, start R (version "4.0") and enter:
if (!requireNamespace("BiocManager", quietly = TRUE)) install.packages("BiocManager") BiocManager::install("MOMA")
For older versions of R, please refer to the appropriate Bioconductor release.
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 |
Reference Manual | ||
Text | NEWS |
biocViews | Clustering, FeatureExtraction, FunctionalGenomics, Network, NetworkEnrichment, NetworkInference, Software, SystemsBiology, Transcriptomics |
Version | 1.2.0 |
In Bioconductor since | BioC 3.11 (R-4.0) (1 year) |
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 |
Follow Installation instructions to use this package in your R session.
Source Package | MOMA_1.2.0.tar.gz |
Windows Binary | MOMA_1.2.0.zip |
macOS 10.13 (High Sierra) | MOMA_1.2.0.tgz |
Source Repository | git clone https://git.bioconductor.org/packages/MOMA |
Source Repository (Developer Access) | git clone [email protected]:packages/MOMA |
Package Short Url | https://bioconductor.org/packages/MOMA/ |
Package Downloads Report | Download Stats |
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