DEsingle: DEsingle for detecting three types of differential expression in single-cell RNA-seq data
Version 1.0.4

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.

Package details

AuthorZhun Miao <[email protected]>
Bioconductor views DifferentialExpression GeneExpression Preprocessing RNASeq Sequencing SingleCell Software Transcriptomics
Date of publication2018-06-21
MaintainerZhun Miao <[email protected]>
LicenseGPL-2
Version1.0.4
URL https://miaozhun.github.io/DEsingle/
Package repositoryView on Bioconductor
Installation Install the latest version of this package by entering the following in R:
source("https://bioconductor.org/biocLite.R")
biocLite("DEsingle")

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DEsingle documentation built on June 27, 2018, 10:01 a.m.