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: |
1.4.2 |
| Depends: |
R (≥ 4.1) |
| Imports: |
Rcpp (≥ 1.0.7), nloptr, stats, Matrix, methods, RSpectra, Rfast, trust, doFuture (≥ 0.12.2), future (≥ 1.32.0), foreach (≥ 1.5.2), doRNG (≥ 1.8.6) |
| LinkingTo: |
Rcpp, RcppEigen |
| Suggests: |
knitr, utils, rmarkdown |
| Published: |
2023-07-05 |
| Author: |
Liang He |
| Maintainer: |
Liang He <hyx520101 at gmail.com> |
| License: |
GPL-3 |
| NeedsCompilation: |
yes |
| CRAN checks: |
nebula results |
Documentation:
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