DOI: 10.18129/B9.bioc.DuoClustering2018
This is the development version of DuoClustering2018; for the stable release version, see
DuoClustering2018.
Data, Clustering Results and Visualization Functions From Duò et al (2018)
Bioconductor version: Development (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")
):
Installation
To install this package, start R (version
“4.1”) and enter:
if (!requireNamespace("BiocManager", quietly = TRUE)) install.packages("BiocManager") # The following initializes usage of Bioc devel BiocManager::install(version='devel') BiocManager::install("DuoClustering2018")
For older versions of R, please refer to the appropriate
Bioconductor release.
Documentation
To view documentation for the version of this package installed
in your system, start R and enter:
browseVignettes("DuoClustering2018")
Details
biocViews | ExperimentData, SingleCellData |
Version | 1.11.0 |
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 |
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package in your R session.
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