This is the released version of celldex; for the devel version, see celldex.
Index of Reference Cell Type DatasetsBioconductor version: Release (3.21)
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, entercitation("celldex")
): Installation
To install this package, start R (version "4.5") 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.
DocumentationTo view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("celldex")
Details biocViews ExperimentData, ExperimentHub, ExpressionData, RNASeqData, SequencingData Version 1.18.0 License GPL-3 Depends SummarizedExperiment Imports utils, methods, Matrix, ExperimentHub, AnnotationHub, AnnotationDbi, S4Vectors, DelayedArray, DelayedMatrixStats, gypsum, alabaster.base, alabaster.matrix, alabaster.se, DBI, RSQLite, jsonlite System Requirements URL https://github.com/LTLA/celldex Bug Reports https://support.bioconductor.org/ See More Suggests testthat, knitr, rmarkdown, BiocStyle, DT, jsonvalidate, BiocManager, ensembldb Linking To Enhances Depends On Me OSCA.basic, OSCA.workflows, SingleRBook Imports Me singleCellTK, scPipeline Suggests Me ontoProc, scDiagnostics, SingleR, sketchR, tidySingleCellExperiment Links To Me Build Report Build Report Package Archives
Follow Installation instructions to use this package in your R session.
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