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Brings SingleCellExperiment to the Tidyverse

Bioconductor version: Release (3.19)

'tidySingleCellExperiment' is an adapter that abstracts the 'SingleCellExperiment' container in the form of a 'tibble'. This allows *tidy* data manipulation, nesting, and plotting. For example, a 'tidySingleCellExperiment' is directly compatible with functions from 'tidyverse' packages `dplyr` and `tidyr`, as well as plotting with `ggplot2` and `plotly`. In addition, the package provides various utility functions specific to single-cell omics data analysis (e.g., aggregation of cell-level data to pseudobulks).

Author: Stefano Mangiola [aut, cre]

Maintainer: Stefano Mangiola <mangiolastefano at>

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


To install this package, start R (version "4.4") and enter:

if (!require("BiocManager", quietly = TRUE))


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:

Overview of the tidySingleCellExperiment package HTML R Script
Reference Manual PDF


biocViews AssayDomain, Clustering, DifferentialExpression, GeneExpression, Infrastructure, Normalization, QualityControl, RNASeq, Sequencing, SingleCell, Software
Version 1.14.0
In Bioconductor since BioC 3.12 (R-4.0) (3.5 years)
License GPL-3
Depends R (>= 4.3.0), SingleCellExperiment
Imports dplyr, tidyr, ttservice (>= 0.4.0), SummarizedExperiment, tibble, ggplot2, magrittr, rlang, purrr, pkgconfig, lifecycle, methods, utils, S4Vectors, tidyselect, ellipsis, vctrs, pillar, stringr, cli, fansi, Matrix, stats
System Requirements
Bug Reports
See More
Suggests BiocStyle, testthat, knitr, rmarkdown, SingleCellSignalR, SingleR, scater, scran, tidyHeatmap, igraph, GGally, uwot, celldex, dittoSeq, plotly
Linking To
Depends On Me tidySpatialExperiment
Imports Me tidyomics
Suggests Me CuratedAtlasQueryR, sccomp, spicyWorkflow
Links To Me
Build Report Build Report

Package Archives

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

Source Package tidySingleCellExperiment_1.14.0.tar.gz
Windows Binary
macOS Binary (x86_64) tidySingleCellExperiment_1.14.0.tgz
macOS Binary (arm64) tidySingleCellExperiment_1.14.0.tgz
Source Repository git clone
Source Repository (Developer Access) git clone
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Old Source Packages for BioC 3.19 Source Archive