Package: AMARETTO 1.21.0

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

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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-1.21.0(bioc 3.20)AMARETTO-1.20.0(bioc 3.19)

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

bioconductor-package

12 exports 1.45 score 143 dependencies 5 mentions

Last updated 2 months agofrom:c18b40e9e8

Exports:AMARETTO_CreateModuleDataAMARETTO_CreateRegulatorProgramsAMARETTO_DownloadAMARETTO_EvaluateTestSetAMARETTO_ExportResultsAMARETTO_HTMLreportAMARETTO_InitializeAMARETTO_PreprocessAMARETTO_RunAMARETTO_VisualizeModuleplot_run_historyread_gct

Dependencies:abindAnnotationDbiAnnotationHubaskpassbase64encBiobaseBiocBaseUtilsBiocFileCacheBiocGenericsBiocManagerBiocVersionBiostringsbitbit64blobbslibcachemcallrcirclizeclicliprclueclustercodetoolscolorspaceComplexHeatmapcpp11crayoncrosstalkcuratedTCGADatacurlDBIdbplyrDelayedArraydigestdoParalleldplyrDTevaluateExperimentHubfansifarverfastmapfilelockfontawesomeforeachfsgenericsGenomeInfoDbGenomeInfoDbDataGenomicRangesGetoptLongggplot2glmnetGlobalOptionsgluegridExtragtableHDF5ArrayhighrhmshtmltoolshtmlwidgetshttpuvhttrimputeIRangesisobanditeratorsjquerylibjsonliteKEGGRESTknitrlabelinglaterlatticelazyevallifecyclelimmamagrittrMASSMatrixMatrixGenericsmatrixStatsmemoisemgcvmimeMultiAssayExperimentmunsellnlmeopensslpillarpkgconfigplogrplyrpngprettyunitsprocessxprogresspromisespspurrrR6rappdirsRColorBrewerRcppRcppEigenreadrreshape2rhdf5rhdf5filtersRhdf5librjsonrlangrmarkdownRSQLiteS4ArraysS4VectorssassscalesshapeSparseArraystatmodstringistringrSummarizedExperimentsurvivalsystibbletidyrtidyselecttinytextzdbUCSC.utilsutf8vctrsviridisLitevroomwithrxfunXVectoryamlzlibbioc

AMARETTO

Jayendra Shinde<sup>1</sup>, Celine Everaert<sup>2</sup>, Shaimaa Bakr<sup>1</sup>, Mohsen Nabian<sup>2</sup>, Jishu Xu<sup>2</sup>,Vincent Carey<sup>2</sup>, Nathalie Pochet<sup>2</sup><sup>*</sup>, Olivier Gevaert<sup>1</sup><sup>**</sup></br></br> <sup>1</sup> Stanford Center for Biomedical Informatics Research (BMIR), Department of Medicine and Biomedical Data Science, 1265 Welch Rd, Stanford, CA, USA</br></br> <sup>2</sup> Brigham and Women's Hospital, Harvard Medical School, Broad Institute of MIT and Harvard, Boston and Cambridge, MA, USA</br></br> <sup>*</sup>[email protected]</br> <sup>**</sup>[email protected]</br>

Rendered fromamaretto.Rmdusingknitr::rmarkdownon Jun 30 2024.

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