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 |
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_1.5.3.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 |
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