This is the development version of DEsingle; for the stable release version, see DEsingle.
DEsingle for detecting three types of differential expression in single-cell RNA-seq dataBioconductor version: Development (3.22)
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>
Citation (from within R, entercitation("DEsingle")): Installation
To install this package, start R (version "4.5") and enter:
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
# The following initializes usage of Bioc devel
BiocManager::install(version='devel')
BiocManager::install("DEsingle")
For older versions of R, please refer to the appropriate Bioconductor release.
DocumentationTo view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("DEsingle")Follow Installation instructions to use this package in your R session.
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