DuoClustering2018 | R Documentation |
Data package containing scRNA-seq data sets, clustering results and functions for summarizing the performance of different scRNA-seq clustering methods.
This package contains publicly available scRNA-seq data sets and the
accompanying results from clustering using general-purpose methods and scRNA-seq
clustering methods. Several real data sets a well as simulated data sets are
provided. The data sets have been used to evaluate the performance of clustering
algorithms in our previous work and publication (Duò et al.,
F1000Research 2018). The data sets are available as
SingleCellExperiment
objects. For additional details on the data
sets, see the help files for the respective data sets.
Additionally, the clustering results from the evaluation as well as functions for summarization and visualization of the clustering results are provided.
A description of the basic usage of the package for retrieving data sets and clustering results, and how to construct various plots summarizing the performance of different methods is outlined in the package vignettes.
Angelo Duò and Charlotte Sonesson
Duò, A., Robinson, M.D., and Soneson, C. (2018). A systematic performance evaluation of clustering methods for single-cell RNA-seq data. F1000Research, 7:1141.
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.