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: | 1.5.6 |
| 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: | 2025-12-07 |
| 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 |
| Reference manual: | nebula.html , nebula.pdf |
| Vignettes: |
A fast negative binomial mixed model for analyzing multi-subject single-cell data (source, R code) |
| Package source: | nebula_1.5.6.tar.gz |
| Windows binaries: | r-devel: nebula_1.5.6.zip, r-release: nebula_1.5.6.zip, r-oldrel: nebula_1.5.6.zip |
| macOS binaries: | r-release (arm64): nebula_1.5.6.tgz, r-oldrel (arm64): nebula_1.5.6.tgz, r-release (x86_64): nebula_1.5.6.tgz, r-oldrel (x86_64): nebula_1.5.6.tgz |
| Old sources: | nebula archive |
Please use the canonical form https://CRAN.R-project.org/package=nebula to link to this page.
Need a high-speed mirror for your open-source project?
Contact our mirror admin team at info@clientvps.com.
This archive is provided as a free public service to the community.
Proudly supported by infrastructure from VPSPulse , RxServers , BuyNumber , UnitVPS , OffshoreName and secure payment technology by ArionPay.