Package: AMARETTO 1.23.0

Olivier Gevaert

AMARETTO: Regulatory Network Inference and Driver Gene Evaluation using Integrative Multi-Omics Analysis and Penalized Regression

Integrating an increasing number of available multi-omics cancer data remains one of the main challenges to improve our understanding of cancer. One of the main challenges is using multi-omics data for identifying novel cancer driver genes. We have developed an algorithm, called AMARETTO, that integrates copy number, DNA methylation and gene expression data to identify a set of driver genes by analyzing cancer samples and connects them to clusters of co-expressed genes, which we define as modules. We applied AMARETTO in a pancancer setting to identify cancer driver genes and their modules on multiple cancer sites. AMARETTO captures modules enriched in angiogenesis, cell cycle and EMT, and modules that accurately predict survival and molecular subtypes. This allows AMARETTO to identify novel cancer driver genes directing canonical cancer pathways.

Authors:Jayendra Shinde, Celine Everaert, Shaimaa Bakr, Mohsen Nabian, Jishu Xu, Vincent Carey, Nathalie Pochet and Olivier Gevaert

AMARETTO_1.23.0.tar.gz
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AMARETTO_1.23.0.tgz(r-4.4-any)AMARETTO_1.23.0.tgz(r-4.3-any)
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AMARETTO.pdf |AMARETTO.html
AMARETTO/json (API)
NEWS

# Install 'AMARETTO' in R:
install.packages('AMARETTO', repos = c('https://bioc.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Datasets:

On BioConductor:AMARETTO-1.23.0(bioc 3.21)AMARETTO-1.22.0(bioc 3.20)

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

statisticalmethoddifferentialmethylationgeneregulationgeneexpressionmethylationarraytranscriptionpreprocessingbatcheffectdataimportmrnamicroarraymicrornaarrayregressionclusteringrnaseqcopynumbervariationsequencingmicroarraynormalizationnetworkbayesianexonarrayonechanneltwochannelproprietaryplatformsalternativesplicingdifferentialexpressiondifferentialsplicinggenesetenrichmentmultiplecomparisonqualitycontroltimecourse

4.88 score 15 scripts 465 downloads 5 mentions 12 exports 143 dependencies

Last updated 2 months agofrom:6b4ead5fa7. Checks:OK: 1 WARNING: 6. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 30 2024
R-4.5-winWARNINGNov 30 2024
R-4.5-linuxWARNINGNov 30 2024
R-4.4-winWARNINGNov 30 2024
R-4.4-macWARNINGNov 30 2024
R-4.3-winWARNINGNov 30 2024
R-4.3-macWARNINGNov 30 2024

Exports:AMARETTO_CreateModuleDataAMARETTO_CreateRegulatorProgramsAMARETTO_DownloadAMARETTO_EvaluateTestSetAMARETTO_ExportResultsAMARETTO_HTMLreportAMARETTO_InitializeAMARETTO_PreprocessAMARETTO_RunAMARETTO_VisualizeModuleplot_run_historyread_gct

Dependencies:abindAnnotationDbiAnnotationHubaskpassbase64encBiobaseBiocBaseUtilsBiocFileCacheBiocGenericsBiocManagerBiocVersionBiostringsbitbit64blobbslibcachemcallrcirclizeclicliprclueclustercodetoolscolorspaceComplexHeatmapcpp11crayoncrosstalkcuratedTCGADatacurlDBIdbplyrDelayedArraydigestdoParalleldplyrDTevaluateExperimentHubfansifarverfastmapfilelockfontawesomeforeachfsgenericsGenomeInfoDbGenomeInfoDbDataGenomicRangesGetoptLongggplot2glmnetGlobalOptionsgluegridExtragtableHDF5ArrayhighrhmshtmltoolshtmlwidgetshttpuvhttrimputeIRangesisobanditeratorsjquerylibjsonliteKEGGRESTknitrlabelinglaterlatticelazyevallifecyclelimmamagrittrMASSMatrixMatrixGenericsmatrixStatsmemoisemgcvmimeMultiAssayExperimentmunsellnlmeopensslpillarpkgconfigplogrplyrpngprettyunitsprocessxprogresspromisespspurrrR6rappdirsRColorBrewerRcppRcppEigenreadrreshape2rhdf5rhdf5filtersRhdf5librjsonrlangrmarkdownRSQLiteS4ArraysS4VectorssassscalesshapeSparseArraystatmodstringistringrSummarizedExperimentsurvivalsystibbletidyrtidyselecttinytextzdbUCSC.utilsutf8vctrsviridisLitevroomwithrxfunXVectoryamlzlibbioc

AMARETTO

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Last update: 2022-12-27
Started: 2018-10-30