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GSE103322

This is the released version of GSE103322; for the devel version, see GSE103322.

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

GEO accession data GSE103322 as a SingleCellExperiment


Bioconductor version: Release (3.23)

Single cell RNA-Seq data for 5902 cells from 18 patients with oral cavity head and neck squamous cell carcinoma available as GEO accession [GSE103322] (http://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE103322). GSE103322 data have been parsed into a SincleCellExperiment object available in ExperimentHub.

Author: Mariano Alvarez [aut, cre]

Maintainer: Mariano Alvarez <reef103 at gmail.com>

Citation (from within R, enter citation("GSE103322")):

Mariano Alvarez. GSE103322: GEO accession data GSE103322 as a SingleCellExperiment. doi:10.18129/B9.bioc.GSE103322, R package version 1.18.0, https://bioconductor.org/packages/GSE103322.

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("GSE103322")

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("GSE103322")
scRNASeq HNSC data using Bioconductor's ExperimentHub HTML R Script
Reference ManualPDF

Details

biocViews CancerData, DNASeqData, ExperimentData, ExperimentHub, ExpressionData, GEO, Genome, Homo_sapiens_Data, RNASeqData, SingleCellData
Version1.18.0
In Bioconductor sinceBioC 3.14 (R-4.1) (5 years)
License Artistic-2.0
Depends Biobase, GEOquery
Imports
System Requirements
URL
See More
Suggests ExperimentHub (>= 0.99.6), knitr, BiocStyle, rmarkdown, SummarizedExperiment, SingleCellExperiment
Linking To
Enhances
Depends On Me
Imports Me
Suggests Me
Links To Me
Build Report Build Report, r-universe

Package Archives

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

Source Package GSE103322_1.18.0.tar.gz
Windows Binary (x86_64)
macOS Binary (big-sur-x86_64)
macOS Binary (sonoma-arm64)
Source Repositorygit clone https://git.bioconductor.org/packages/GSE103322
Source Repository (Developer Access)git clone git@git.bioconductor.org:packages/GSE103322
Package Short Url https://bioconductor.org/packages/GSE103322/
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