curatedTCGAData
This package is for version 3.7 of Bioconductor; for the stable, up-to-date release version, see curatedTCGAData.
Curated Data From The Cancer Genome Atlas (TCGA) as MultiAssayExperiment Objects
Bioconductor version: 3.7
This package provides publicly available data from The Cancer Genome Atlas (TCGA) Bioconductor MultiAssayExperiment class objects. These objects integrate multiple assays (e.g. RNA-seq, copy number, mutation, microRNA, protein, and others) with clinical / pathological data. The MultiAssayExperiment class links assay barcodes with patient IDs, enabling harmonized subsetting of rows (features) and columns (patients / samples) across the entire experiment.
Author: Marcel Ramos <marcel.ramos at roswellpark.org>, Levi Waldron <lwaldron.research at gmail.com>, Lucas Schiffer <schiffer.lucas at gmail.com>, Valerie Obenchain <valerie.obenchain at roswellpark.org>, Morgan Martin <martin.morgan at roswellpark.org>
Maintainer: Marcel Ramos <marcel.ramos at roswellpark.org>
citation("curatedTCGAData")
):
Installation
To install this package, start R (version "3.5") and enter:
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("curatedTCGAData")
For older versions of R, please refer to the appropriate Bioconductor release.
Documentation
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("curatedTCGAData")
curatedTCGAData | HTML | R Script |
Reference Manual | ||
NEWS | Text |
Details
biocViews | CancerData, ExperimentData, Homo_sapiens_Data, ReproducibleResearch |
Version | 1.2.0 |
License | Artistic-2.0 |
Depends | R (>= 3.4.0), MultiAssayExperiment |
Imports | AnnotationHub, ExperimentHub, S4Vectors, utils |
System Requirements | |
URL |
See More
Suggests | BiocStyle, knitr, readr, rmarkdown, testthat |
Linking To | |
Enhances | |
Depends On Me | |
Imports Me | |
Suggests Me | TCGAutils |
Links To Me | |
Build Report | Build Report |
Package Archives
Follow Installation instructions to use this package in your R session.
Source Package | curatedTCGAData_1.2.0.tar.gz |
Windows Binary | |
Mac OS X 10.11 (El Capitan) | |
Source Repository | git clone https://git.bioconductor.org/packages/curatedTCGAData |
Source Repository (Developer Access) | git clone git@git.bioconductor.org:packages/curatedTCGAData |
Package Short Url | https://bioconductor.org/packages/curatedTCGAData/ |
Package Downloads Report | Download Stats |