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