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

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>.

Version: 1.2.0
Depends: R (≥ 4.1)
Imports: Rcpp (≥ 1.0.7), nloptr, MASS, stats, Matrix, methods, utils, Rfast, trust
LinkingTo: Rcpp, RcppEigen
Suggests: knitr, rmarkdown
Published: 2022-01-21
Author: Liang He
Maintainer: Liang He <liang.he at duke.edu>
License: GPL-3
NeedsCompilation: yes
Materials: README
CRAN checks: nebula results

Documentation:

Reference manual: nebula.pdf
Vignettes: A fast negative binomial mixed model for analyzing multi-subject single-cell data

Downloads:

Package source: nebula_1.2.0.tar.gz
Windows binaries: r-devel: nebula_1.2.0.zip, r-release: nebula_1.2.0.zip, r-oldrel: not available
macOS binaries: r-release (arm64): nebula_1.2.0.tgz, r-release (x86_64): nebula_1.2.0.tgz, r-oldrel: not available

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