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Data, Clustering Results and Visualization Functions From Duò et al (2018)

Bioconductor version: Release (3.19)

Preprocessed experimental and simulated scRNA-seq data sets used for evaluation of clustering methods for scRNA-seq data in Duò et al (2018). Also contains results from applying several clustering methods to each of the data sets, and functions for plotting method performance.

Author: Angelo Duò, Charlotte Soneson

Maintainer: Angelo Duò <angelo.duo at>

Citation (from within R, enter citation("DuoClustering2018")):


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:

Apply clustering method HTML R Script
Plot performance summaries HTML R Script
Visualize data sets and clustering results with iSEE HTML R Script
Reference Manual PDF


biocViews ExperimentData, SingleCellData
Version 1.22.0
License GPL (>=2)
Imports ExperimentHub, utils, magrittr, dplyr, tidyr, mclust, ggplot2, purrr, reshape2, viridis, ggthemes, stats, methods
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Suggests knitr, rmarkdown, BiocStyle, iSEE, scater, SingleCellExperiment, SummarizedExperiment, plyr
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Source Package DuoClustering2018_1.22.0.tar.gz
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