Package: DEsingle 1.27.0

Zhun Miao

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

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.

Authors:Zhun Miao <[email protected]>

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DEsingle/json (API)
NEWS

# Install 'DEsingle' in R:
install.packages('DEsingle', repos = c('https://bioc.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/miaozhun/desingle/issues

Datasets:
  • counts - TestData: A test dataset for DEsingle
  • group - TestData: A test dataset for DEsingle

On BioConductor:DEsingle-1.25.0(bioc 3.20)DEsingle-1.24.0(bioc 3.19)

differentialexpressiongeneexpressionsinglecellimmunooncologyrnaseqtranscriptomicssequencingpreprocessingsoftware

6.37 score 30 stars 26 scripts 497 downloads 2 exports 29 dependencies

Last updated 25 days agofrom:56ad3908d1. Checks:OK: 1 NOTE: 6. Indexed: yes.

TargetResultDate
Doc / VignettesOKOct 30 2024
R-4.5-winNOTEOct 30 2024
R-4.5-linuxNOTEOct 30 2024
R-4.4-winNOTEOct 30 2024
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Exports:DEsingleDEtype

Dependencies:bbmlebdsmatrixBHBiocParallelcodetoolscpp11digestformatRfutile.loggerfutile.optionsgamlssgamlss.datagamlss.distgenericslambda.rlatticeMASSMatrixmaxLikmiscToolsmvtnormnlmenumDerivpsclsandwichsnowsurvivalVGAMzoo

DEsingle

Rendered fromDEsingle.Rmdusingknitr::rmarkdownon Oct 30 2024.

Last update: 2020-05-20
Started: 2018-02-07