DEsingle

DOI: 10.18129/B9.bioc.DEsingle    

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

Bioconductor version: Release (3.7)

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 mails.tsinghua.edu.cn>

Maintainer: Zhun Miao <miaoz13 at mails.tsinghua.edu.cn>

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

Installation

To install this package, start R and enter:

## try http:// if https:// URLs are not supported
source("http://bioc.ism.ac.jp/biocLite.R")
biocLite("DEsingle")

Documentation

To view documentation for the version of this package installed in your system, start R and enter:

browseVignettes("DEsingle")

 

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Details

biocViews DifferentialExpression, GeneExpression, Preprocessing, RNASeq, Sequencing, SingleCell, Software, Transcriptomics
Version 1.0.4
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
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Package Archives

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

Source Package DEsingle_1.0.4.tar.gz
Windows Binary DEsingle_1.0.4.zip
Mac OS X 10.11 (El Capitan) DEsingle_1.0.4.tgz
Source Repository git clone https://git.bioconductor.org/packages/DEsingle
Source Repository (Developer Access) git clone git@git.bioconductor.org:packages/DEsingle
Package Short Url http://bioconductor.org/packages/DEsingle/
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Old Source Packages for BioC 3.7 Source Archive

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