The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.

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: 1.5.3
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
LinkingTo: Rcpp, RcppEigen
Suggests: knitr, utils, rmarkdown
Published: 2024-02-15
DOI: 10.32614/CRAN.package.nebula
Author: Liang He [aut, cre], Raghav Sharma [ctb]
Maintainer: Liang He <hyx520101 at gmail.com>
BugReports: https://github.com/lhe17/nebula/issues
License: GPL-3
URL: https://github.com/lhe17/nebula
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_1.5.3.tar.gz
Windows binaries: r-devel: nebula_1.5.3.zip, r-release: nebula_1.5.3.zip, r-oldrel: nebula_1.5.3.zip
macOS binaries: r-release (arm64): nebula_1.5.3.tgz, r-oldrel (arm64): nebula_1.5.3.tgz, r-release (x86_64): nebula_1.5.3.tgz, r-oldrel (x86_64): nebula_1.5.3.tgz
Old sources: nebula archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=nebula to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.