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.
RetroSearch is an open source project built by @garambo | Open a GitHub Issue
Search and Browse the WWW like it's 1997 | Search results from DuckDuckGo
HTML:
3.2
| Encoding:
UTF-8
| Version:
0.7.4