Package: MoonlightR
Type: Package
Title: Identify oncogenes and tumor suppressor genes from omics data
Version: 1.38.0
Date: 07-08-2020
Authors@R: 
  c(person("Antonio", "Colaprico",
           role="aut"),
    person("Catharina", "Olsen",
           role="aut"),
    person("Matthew H.", "Bailey",
           role="aut"),
    person("Gabriel J.", "Odom",
           role="aut"),
    person("Thilde", "Terkelsen",
           role="aut"),
    person("Mona", "Nourbakhsh",
           role="aut"),
    person("Astrid", "Saksager",
           role="aut"),
    person("Tiago C.", "Silva",
           role="aut"),
    person("André V.", "Olsen",
           role="aut"),
    person("Laura", "Cantini",
           role="aut"),
    person("Andrei", "Zinovyev",
           role="aut"),
    person("Emmanuel", "Barillot",
           role="aut"),
    person("Houtan", "Noushmehr",
           role="aut"),
    person("Gloria", "Bertoli",
           role="aut"),
    person("Isabella", "Castiglioni",
           role="aut"),
    person("Claudia","Cava",
           role="aut"),
    person("Gianluca", "Bontempi",
           role="aut"),
    person("Xi Steven", "Chen",
           role="aut"),
    person("Elena", "Papaleo",
           role="aut"),
    person("Matteo", "Tiberti",
           role=c("cre", "aut"),
           email="tiberti@cancer.dk",
           ))
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
Description: 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.
License: GPL (>= 3)
biocViews: DNAMethylation, DifferentialMethylation, GeneRegulation,
        GeneExpression, MethylationArray, DifferentialExpression,
        Pathways, Network, Survival, GeneSetEnrichment,
        NetworkEnrichment
Suggests: BiocStyle, knitr, rmarkdown, testthat, devtools, roxygen2,
        png, edgeR
VignetteBuilder: knitr
LazyData: true
URL: https://github.com/ELELAB/MoonlightR
BugReports: https://github.com/ELELAB/MoonlightR/issues
RoxygenNote: 7.2.3
Encoding: UTF-8
Config/pak/sysreqs: libcairo2-dev cmake libfontconfig1-dev
        libfreetype6-dev libglpk-dev libglu1-mesa-dev make texlive
        libicu-dev libjpeg-dev libpng-dev libuv1-dev libxml2-dev
        libgl1-mesa-dev libssl-dev libx11-dev zlib1g-dev
Repository: https://bioc-release.r-universe.dev
Date/Publication: 2026-04-28 12:44:28 UTC
RemoteUrl: https://github.com/bioc/MoonlightR
RemoteRef: RELEASE_3_23
RemoteSha: a54da3fb2b98d3c25c4ab6b5200ea1d282cc1368
NeedsCompilation: no
Packaged: 2026-05-04 09:06:50 UTC; root
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@cancer.dk>
Built: R 4.6.0; ; 2026-05-04 09:14:34 UTC; windows
