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DEsingle

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

Bioconductor version: 3.24 · Package version: 1.33.0

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.

Installation

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

BiocManager::install("DEsingle")

Details

MaintainerZhun Miao <miaoz13@tsinghua.org.cn>
AuthorZhun Miao <miaoz13@tsinghua.org.cn>
LicenseGPL-2
URLhttps://miaozhun.github.io/DEsingle/
Downloads rank542
Source branchdevel
biocViewsDifferentialExpression, GeneExpression, ImmunoOncology, Preprocessing, RNASeq, Sequencing, SingleCell, Software, Transcriptomics

Documentation

Download

Follow the installation instructions to use this package in your R session.

Source packageDEsingle_1.33.0.tar.gz
Windows binary (x86_64)DEsingle_1.33.0.zip
macOS binary (arm64)DEsingle_1.33.0.tgz
macOS binary (x86_64)DEsingle_1.33.0.tgz
Dependencies

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)

Suggests: knitr, rmarkdown, SingleCellExperiment