DuoClustering2018

This is the released version of DuoClustering2018; for the devel version, see DuoClustering2018.

All versions

3.24 (devel), 3.23 (release), 3.22, 3.21, 3.20, 3.19, 3.18, 3.17, 3.16, 3.15, 3.14, 3.13, 3.12, 3.11, 3.10, 3.9, 3.8

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

Bioconductor version: Release (3.23)

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")):

Angelo Duò, Charlotte Soneson. DuoClustering2018: Data, Clustering Results and Visualization Functions From Duò et al (2018). doi:10.18129/B9.bioc.DuoClustering2018, R package version 1.30.0, https://bioconductor.org/packages/DuoClustering2018.

Generated from the package metadata; it may differ from the package's own citation.

Installation

To install this package, start R (version "4.6") 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.

Documentation

No vignettes available
Reference Manual	PDF

Need some help? Ask on the Bioconductor Support site!

Details

biocViews	ExperimentData, SingleCellData
Version	1.30.0
In Bioconductor since	BioC 3.8 (R-3.5) (8 years)
License	GPL (>=2)
Depends
Imports	ExperimentHub, utils, magrittr, dplyr, tidyr, mclust, ggplot2, purrr, reshape2, viridis, ggthemes, stats, methods
System Requirements
URL

Suggests	knitr, rmarkdown, BiocStyle, iSEE, scater, SingleCellExperiment, SummarizedExperiment, plyr
Linking To
Enhances
Depends On Me
Imports Me
Suggests Me	corral, scry
Links To Me
Build Report	Build Report, r-universe

Package Archives

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

Source Package	DuoClustering2018_1.30.0.tar.gz
Windows Binary (x86_64)
macOS Binary (big-sur-x86_64)
macOS Binary (sonoma-arm64)
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