DEsingle

DOI: 10.18129/B9.bioc.DEsingle  

DEsingle for detecting three types of differential expression in single-cell RNA-seq data

Bioconductor version: Release (3.16)

DEsingle is an R package for differential expression (DE) analysis of single-cell RNA-seq (scRNA-seq) data. It defines and detects 3 types of differentially expressed genes between two groups of single cells, with regard to different expression status (DEs), differential expression abundance (DEa), and general differential expression (DEg). DEsingle employs Zero-Inflated Negative Binomial model to estimate the proportion of real and dropout zeros and to define and detect the 3 types of DE genes. Results showed that DEsingle outperforms existing methods for scRNA-seq DE analysis, and can reveal different types of DE genes that are enriched in different biological functions.

Author: Zhun Miao <miaoz13 at tsinghua.org.cn>

Maintainer: Zhun Miao <miaoz13 at tsinghua.org.cn>

Installation

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

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

BiocManager::install("DEsingle")

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("DEsingle")

 

HTML	R Script	DEsingle
PDF		Reference Manual
Text		NEWS

Details

biocViews	DifferentialExpression, GeneExpression, ImmunoOncology, Preprocessing, RNASeq, Sequencing, SingleCell, Software, Transcriptomics
Version	1.18.1
In Bioconductor since	BioC 3.7 (R-3.5) (5 years)
License	GPL-2
Depends	R (>= 3.4.0)
Imports	stats, Matrix (>= 1.2-14), MASS (>= 7.3-45), VGAM (>= 1.0-2), bbmle (>= 1.0.18), gamlss (>= 4.4-0), maxLik (>= 1.3-4), pscl (>= 1.4.9), BiocParallel(>= 1.12.0)
LinkingTo
Suggests	knitr, rmarkdown, SingleCellExperiment
SystemRequirements
Enhances
URL	https://miaozhun.github.io/DEsingle/
Depends On Me
Imports Me	IRISFGM
Suggests Me
Links To Me
Build Report

Package Archives

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

Source Package	DEsingle_1.18.1.tar.gz
Windows Binary	DEsingle_1.18.1.zip
macOS Binary (x86_64)	DEsingle_1.18.1.tgz
macOS Binary (arm64)	DEsingle_1.18.1.tgz
Source Repository	git clone https://git.bioconductor.org/packages/DEsingle
Source Repository (Developer Access)	git clone git@git.bioconductor.org:packages/DEsingle
Bioc Package Browser	https://code.bioconductor.org/browse/DEsingle/
Package Short Url	https://bioconductor.org/packages/DEsingle/
Package Downloads Report	Download Stats
Old Source Packages for BioC 3.16	Source Archive