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MoonlightR

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

All Bioconductor versions of MoonlightR

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, 3.10, 3.9, 3.8, 3.7, 3.6, 3.5, 3.4

Identify oncogenes and tumor suppressor genes from omics data

Bioconductor version: 3.24 · Package version: 1.39.1

Motivation: The understanding of cancer mechanism requires the identification of genes playing a role in the development of the pathology and the characterization of their role (notably oncogenes and tumor suppressors). Results: We present an R/bioconductor package called MoonlightR which returns a list of candidate driver genes for specific cancer types on the basis of TCGA expression data. The method first infers gene regulatory networks and then carries out a functional enrichment analysis (FEA) (implementing an upstream regulator analysis, URA) to score the importance of well-known biological processes with respect to the studied cancer type. Eventually, by means of random forests, MoonlightR predicts two specific roles for the candidate driver genes: i) tumor suppressor genes (TSGs) and ii) oncogenes (OCGs). As a consequence, this methodology does not only identify genes playing a dual role (e.g. TSG in one cancer type and OCG in another) but also helps in elucidating the biological processes underlying their specific roles. In particular, MoonlightR can be used to discover OCGs and TSGs in the same cancer type. This may help in answering the question whether some genes change role between early stages (I, II) and late stages (III, IV) in breast cancer. In the future, this analysis could be useful to determine the causes of different resistances to chemotherapeutic treatments.

Author: Antonio Colaprico [aut], Catharina Olsen [aut], Matthew H. Bailey [aut], Gabriel J. Odom [aut], Thilde Terkelsen [aut], Mona Nourbakhsh [aut], Astrid Saksager [aut], Tiago C. Silva [aut], André V. Olsen [aut], Laura Cantini [aut], Andrei Zinovyev [aut], Emmanuel Barillot [aut], Houtan Noushmehr [aut], Gloria Bertoli [aut], Isabella Castiglioni [aut], Claudia Cava [aut], Gianluca Bontempi [aut], Xi Steven Chen [aut], Elena Papaleo [aut], Matteo Tiberti [cre, aut]

Maintainer: Matteo Tiberti <tiberti at cancer.dk>

DOI: 10.18129/B9.bioc.MoonlightR

Citation

From within R, enter citation("MoonlightR"):

Antonio Colaprico, Catharina Olsen, Matthew H. Bailey, Gabriel J. Odom, Thilde Terkelsen, Mona Nourbakhsh, Astrid Saksager, Tiago C. Silva, André V. Olsen, Laura Cantini, Andrei Zinovyev, Emmanuel Barillot, Houtan Noushmehr, Gloria Bertoli, Isabella Castiglioni, Claudia Cava, Gianluca Bontempi, Xi Steven Chen, Elena Papaleo, Matteo Tiberti. MoonlightR: Identify oncogenes and tumor suppressor genes from omics data. doi:10.18129/B9.bioc.MoonlightR, R package version 1.39.1, https://bioconductor.org/packages/MoonlightR.

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("MoonlightR")

For older versions of R, please refer to the appropriate Bioconductor release.

Details

Version1.39.1
LicenseGPL (>= 3)
URLhttps://github.com/ELELAB/MoonlightR
Bug Reportshttps://github.com/ELELAB/MoonlightR/issues
Last updated2026-09-25
In Bioconductor sinceBioC 3.4 (R-3.3) (9 years)
StatusDeprecated
Downloads rank642 of 2,456
Source branchdevel
Build report Bioconductor build system, r-universe
biocViewsDNAMethylation, DifferentialExpression, DifferentialMethylation, GeneExpression, GeneRegulation, GeneSetEnrichment, MethylationArray, Network, NetworkEnrichment, Pathways, Software, Survival
Package Short Url https://bioconductor.org/packages/MoonlightR/

Documentation

To view documentation for the version of this package installed in your system, start R and enter:

browseVignettes("MoonlightR")
Moonlight: an approach to identify multiple role of biomarkers as oncogene or tumorsuppressor in different tumor types and stages. HTML R Script
Reference ManualPDF
NEWSText

Download

Follow the installation instructions to use this package in your R session.

Source packageMoonlightR_1.39.1.tar.gz
Windows binary (x86_64)MoonlightR_1.39.1.zip
macOS binary (arm64)MoonlightR_1.39.1.tgz
macOS binary (x86_64)MoonlightR_1.39.1.tgz
Source Repositorygit clone https://git.bioconductor.org/packages/MoonlightR
Source Repository (Developer Access)git clone git@git.bioconductor.org:packages/MoonlightR
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Dependencies

Depends: R (>= 3.5), doParallel, foreach

Imports: parmigene, randomForest, SummarizedExperiment, gplots, circlize, RColorBrewer, HiveR, clusterProfiler, DOSE, Biobase, limma, grDevices, graphics, TCGAbiolinks, GEOquery, stats, RISmed, grid, utils

Suggests: BiocStyle, knitr, rmarkdown, testthat, devtools, roxygen2, png, edgeR