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GSE62944

This is the released version of GSE62944; for the devel version, see GSE62944.

All versions 3.24 (devel), 3.23 (release), 3.22, 3.21, 3.20, 3.19, 3.18, 3.17, 3.16, 3.15, 3.14, 3.13, 3.12, 3.11, 3.10, 3.9, 3.8, 3.7, 3.6, 3.5, 3.4, 3.3

GEO accession data GSE62944 as a SummarizedExperiment


Bioconductor version: Release (3.23)

TCGA processed RNA-Seq data for 9264 tumor and 741 normal samples across 24 cancer types and made them available as GEO accession [GSE62944](http://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE62944). GSE62944 data have been parsed into a SummarizedExperiment object available in ExperimentHub.

Author: Sonali Arora

Maintainer: Bioconductor Package Maintainer <maintainer at bioconductor.org>

Citation (from within R, enter citation("GSE62944")):

Sonali Arora. GSE62944: GEO accession data GSE62944 as a SummarizedExperiment. doi:10.18129/B9.bioc.GSE62944, R package version 1.40.0, https://bioconductor.org/packages/GSE62944.

Generated from the package metadata; it may differ from the package's own citation.

Installation

To install this package, start R (version "4.6") and enter:

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

BiocManager::install("GSE62944")

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("GSE62944")
Raw TCGA data using Bioconductor's ExperimentHub HTML R Script
Reference ManualPDF

Details

biocViews DNASeqData, ExperimentData, Genome, RNASeqData
Version1.40.0
In Bioconductor sinceBioC 3.3 (R-3.3) (10.5 years)
License Artistic-2.0
Depends Biobase, GEOquery
Imports
System Requirements
URLhttp://bioconductor.org/packages/release/bioc/html/GSE62944.html
See More
Suggests ExperimentHub (>= 0.99.6), knitr, BiocStyle, rmarkdown, DESeq2
Linking To
Enhances
Depends On Me
Imports Me
Suggests Me GSEABenchmarkeR
Links To Me
Build Report Build Report, r-universe

Package Archives

Follow Installation instructions to use this package in your R session.

Source Package GSE62944_1.40.0.tar.gz
Windows Binary (x86_64)
macOS Binary (big-sur-x86_64)
macOS Binary (sonoma-arm64)
Source Repositorygit clone https://git.bioconductor.org/packages/GSE62944
Source Repository (Developer Access)git clone git@git.bioconductor.org:packages/GSE62944
Package Short Url https://bioconductor.org/packages/GSE62944/
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