Bioconductor version: Release (3.17)
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>
Citation (from within R,
enter citation("celldex")
):
To install this package, start R (version "4.3") 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.
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 |
Reference Manual |
biocViews | ExperimentData, ExperimentHub, ExpressionData, RNASeqData, SequencingData |
Version | 1.10.1 |
License | GPL-3 |
Depends | SummarizedExperiment |
Imports | utils, ExperimentHub, AnnotationHub, AnnotationDbi, S4Vectors, DelayedArray, DelayedMatrixStats |
LinkingTo | |
Suggests | testthat, knitr, rmarkdown, BiocStyle, DT, ensembldb |
SystemRequirements | |
Enhances | |
URL | https://github.com/LTLA/celldex |
BugReports | https://support.bioconductor.org/ |
Depends On Me | OSCA.basic, OSCA.workflows, SingleRBook |
Imports Me | singleCellTK |
Suggests Me | ontoProc, SingleR, tidySingleCellExperiment |
Links To Me | |
Build Report |
Follow Installation instructions to use this package in your R session.
Source Package | celldex_1.10.1.tar.gz |
Windows Binary | |
macOS Binary (x86_64) | |
macOS Binary (arm64) | |
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 |
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