CRAN/E | nebula

nebula

Negative Binomial Mixed Models Using Large-Sample Approximation for Differential Expression Analysis of ScRNA-Seq Data

Installation

About

A fast negative binomial mixed model for conducting association analysis of multi-subject single-cell data. It can be used for identifying marker genes, differential expression and co-expression analyses. The model includes subject-level random effects to account for the hierarchical structure in multi-subject single-cell data. See He et al. (2021) doi:10.1038/s42003-021-02146-6.

github.com/lhe17/nebula
Bug report File report

Key Metrics

Version 1.5.3
R ≥ 4.1
Published 2024-02-15 43 days ago
Needs compilation? yes
License GPL-3
CRAN checks nebula results

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Maintainer

Maintainer

Liang He

hyx520101@gmail.com

Authors

Liang He

aut / cre

Raghav Sharma

ctb

Material

README
Reference manual
Package source

Vignettes

A fast negative binomial mixed model for analyzing multi-subject single-cell data

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

nebula archive

Depends

R ≥ 4.1

Imports

Rcpp ≥ 1.0.7
nloptr
stats
Matrix
methods
Rfast
trust
parallelly ≥ 1.34.0
doFuture ≥ 0.12.2
future ≥1.32.0
foreach ≥ 1.5.2
doRNG ≥ 1.8.6
Seurat
SingleCellExperiment

Suggests

knitr
utils
rmarkdown

LinkingTo

Rcpp
RcppEigen