This is the development version of curatedTCGAData; for the stable release version, see curatedTCGAData.
Curated Data from The Cancer Genome Atlas (TCGA) as MultiAssayExperiment ObjectsBioconductor version: Development (3.22)
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.
Author: Marcel Ramos [aut, cre] ORCID: 0000-0002-3242-0582 , Levi Waldron [ctb], Lucas Schiffer [ctb], Ludwig Geistlinger [ctb], Valerie Obenchain [ctb], Martin Morgan [ctb]
Maintainer: Marcel Ramos <marcel.ramos at roswellpark.org>
Citation (from within R, entercitation("curatedTCGAData")
): Installation
To install this package, start R (version "4.5") and enter:
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
# The following initializes usage of Bioc devel
BiocManager::install(version='devel')
BiocManager::install("curatedTCGAData")
For older versions of R, please refer to the appropriate Bioconductor release.
DocumentationTo view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("curatedTCGAData")
Details biocViews CancerData, ExperimentData, ExperimentHub, Homo_sapiens_Data, ReproducibleResearch Version 1.31.1 License Artistic-2.0 Depends R (>= 4.5.0), MultiAssayExperiment Imports AnnotationHub, ExperimentHub, HDF5Array, methods, S4Vectors, stats, SummarizedExperiment, utils System Requirements URL Bug Reports https://github.com/waldronlab/curatedTCGAData/issues See More Package Archives
Follow Installation instructions to use this package in your R session.
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