scDD

DOI: 10.18129/B9.bioc.scDD  

Mixture modeling of single-cell RNA-seq data to identify genes with differential distributions

Bioconductor version: Release (3.16)

This package implements a method to analyze single-cell RNA- seq Data utilizing flexible Dirichlet Process mixture models. Genes with differential distributions of expression are classified into several interesting patterns of differences between two conditions. The package also includes functions for simulating data with these patterns from negative binomial distributions.

Author: Keegan Korthauer [cre, aut]

Maintainer: Keegan Korthauer <keegan at stat.ubc.ca>

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

Installation

To install this package, start R (version "4.2") and enter:

if (!require("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

BiocManager::install("scDD")

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("scDD")

 

PDF R Script scDD Quickstart
PDF   Reference Manual
Text   NEWS

Details

biocViews Bayesian, Clustering, DifferentialExpression, ImmunoOncology, MultipleComparison, RNASeq, SingleCell, Software, Visualization
Version 1.22.0
In Bioconductor since BioC 3.5 (R-3.4) (6 years)
License GPL-2
Depends R (>= 3.5.0)
Imports fields, mclust, BiocParallel, outliers, ggplot2, EBSeq, arm, SingleCellExperiment, SummarizedExperiment, grDevices, graphics, stats, S4Vectors, scran
LinkingTo
Suggests BiocStyle, knitr, gridExtra
SystemRequirements
Enhances
URL https://github.com/kdkorthauer/scDD
BugReports https://github.com/kdkorthauer/scDD/issues
Depends On Me
Imports Me
Suggests Me splatter
Links To Me
Build Report  

Package Archives

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

Source Package scDD_1.22.0.tar.gz
Windows Binary scDD_1.22.0.zip
macOS Binary (x86_64) scDD_1.22.0.tgz
macOS Binary (arm64) scDD_1.22.0.tgz
Source Repository git clone https://git.bioconductor.org/packages/scDD
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/scDD
Bioc Package Browser https://code.bioconductor.org/browse/scDD/
Package Short Url https://bioconductor.org/packages/scDD/
Package Downloads Report Download Stats

Documentation »

Bioconductor

R / CRAN packages and documentation

Support »

Please read the posting guide. Post questions about Bioconductor to one of the following locations: