scDD

DOI: 10.18129/B9.bioc.scDD    

This package is for version 3.15 of Bioconductor; for the stable, up-to-date release version, see scDD.

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

Bioconductor version: 3.15

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>

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	1.20.0
In Bioconductor since	BioC 3.5 (R-3.4) (5.5 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_1.20.0.tar.gz
Windows Binary	scDD_1.20.0.zip
macOS Binary (x86_64)	scDD_1.20.0.tgz
Source Repository	git clone https://git.bioconductor.org/packages/scDD
Source Repository (Developer Access)	git clone git@git.bioconductor.org:packages/scDD
Package Short Url	https://bioconductor.org/packages/scDD/
Package Downloads Report	Download Stats