Bioconductor version: Release (3.14)
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 icloud.com>
Citation (from within R,
enter citation("DuoClustering2018")
):
To install this package, start R (version "4.1") and enter:
if (!require("BiocManager", quietly = TRUE)) install.packages("BiocManager") BiocManager::install("DuoClustering2018")
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("DuoClustering2018")
HTML | R Script | Apply clustering method |
HTML | R Script | Plot performance summaries |
HTML | R Script | Visualize data sets and clustering results with iSEE |
Reference Manual | ||
Text | NEWS |
biocViews | ExperimentData, SingleCellData |
Version | 1.12.0 |
License | GPL (>=2) |
Depends | |
Imports | ExperimentHub, utils, magrittr, dplyr, tidyr, mclust, ggplot2, purrr, reshape2, viridis, ggthemes, stats, methods |
LinkingTo | |
Suggests | knitr, rmarkdown, BiocStyle, iSEE, scater, SingleCellExperiment, SummarizedExperiment, plyr |
SystemRequirements | |
Enhances | |
URL | |
Depends On Me | |
Imports Me | |
Suggests Me | corral, scry |
Links To Me | |
Build Report |
Follow Installation instructions to use this package in your R session.
Source Package | DuoClustering2018_1.12.0.tar.gz |
Windows Binary | |
macOS 10.13 (High Sierra) | |
Source Repository | git clone https://git.bioconductor.org/packages/DuoClustering2018 |
Source Repository (Developer Access) | git clone git@git.bioconductor.org:packages/DuoClustering2018 |
Package Short Url | https://bioconductor.org/packages/DuoClustering2018/ |
Package Downloads Report | Download Stats |
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