celldex

DOI: 10.18129/B9.bioc.celldex    

This package is for version 3.15 of Bioconductor; for the stable, up-to-date release version, see celldex.

Reference Index for Cell Types

Bioconductor version: 3.15

Provides a collection of reference expression datasets with curated cell type labels, for use in procedures like automated annotation of single-cell data or deconvolution of bulk RNA-seq.

Author: Dvir Aran [aut], Aaron Lun [aut, cre, cph], Daniel Bunis [aut], Jared Andrews [aut], Friederike Dündar [aut]

Maintainer: Aaron Lun <infinite.monkeys.with.keyboards at gmail.com>

Installation

To install this package, start R (version "4.2") and enter:

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

BiocManager::install("celldex")

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("celldex")

 

HTML	R Script	Cell type references
PDF		Reference Manual

Details

biocViews	ExperimentData, ExperimentHub, ExpressionData, RNASeqData, SequencingData
Version	1.6.0
License	GPL-3
Depends	SummarizedExperiment
Imports	utils, ExperimentHub, AnnotationHub, AnnotationDbi, S4Vectors, DelayedArray, DelayedMatrixStats
LinkingTo
Suggests	testthat, knitr, rmarkdown, BiocStyle, DT
SystemRequirements
Enhances
URL	https://github.com/LTLA/celldex
BugReports	https://support.bioconductor.org/
Depends On Me	OSCA.basic, OSCA.workflows
Imports Me	singleCellTK
Suggests Me	ontoProc, SingleR, tidySingleCellExperiment
Links To Me
Build Report

Package Archives

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

Source Package	celldex_1.6.0.tar.gz
Windows Binary
macOS Binary (x86_64)
Source Repository	git clone https://git.bioconductor.org/packages/celldex
Source Repository (Developer Access)	git clone git@git.bioconductor.org:packages/celldex
Package Short Url	https://bioconductor.org/packages/celldex/
Package Downloads Report	Download Stats