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curatedTCGAData

Curated Data from The Cancer Genome Atlas (TCGA) as MultiAssayExperiment Objects

Bioconductor version: 3.23 · Package version: 1.34.0

This package provides publicly available data from The Cancer Genome Atlas (TCGA) as MultiAssayExperiment objects. MultiAssayExperiment integrates multiple assays (e.g., RNA-seq, copy number, mutation, microRNA, protein, and others) with clinical / pathological data. It also links assay barcodes with patient identifiers, enabling harmonized subsetting of rows (features) and columns (patients / samples) across the entire multi-'omics experiment.

Installation

if (!require("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

BiocManager::install("curatedTCGAData")

Details

MaintainerMarcel Ramos <marcel.ramos@sph.cuny.edu>
AuthorMarcel Ramos [aut, cre] (ORCID: <https://orcid.org/0000-0002-3242-0582>), Levi Waldron [ctb], Lucas Schiffer [ctb], Ludwig Geistlinger [ctb], Valerie Obenchain [ctb], Martin Morgan [ctb], NCI [fnd] (GrantNo.: U24CA289073)
LicenseArtistic-2.0
Bug Reportshttps://github.com/waldronlab/curatedTCGAData/issues
Downloads rank467
Source branchRELEASE_3_23
biocViewsCancerData, ExperimentData, ExperimentHub, Homo_sapiens_Data, ReproducibleResearch

Download

Dependencies

Depends: R (>= 4.5.0), MultiAssayExperiment

Imports: AnnotationHub, ExperimentHub, HDF5Array, methods, S4Vectors, stats, SummarizedExperiment, utils

Suggests: BiocStyle, knitr, RaggedExperiment, readr, rmarkdown, TCGAutils, testthat

Reverse dependencies

Imports Me (1): AMARETTO

Suggests Me (4): CNVRanger, glmSparseNet, imageFeatureTCGA, TCGAutils