bbknnR: Perform Batch Balanced KNN in R (original) (raw)
A fast and intuitive batch effect removal tool for single-cell data. BBKNN is originally used in the 'scanpy' python package, and now can be used with 'Seurat' seamlessly.
| Version: | 2.0.2 |
|---|---|
| Depends: | R (≥ 4.1.0), methods, utils |
| Imports: | future, future.apply, glmnet, Rcpp, RcppAnnoy, RcppEigen, rlang, rnndescent, Rtsne, Seurat, SeuratObject, tidytable, uwot (≥ 0.2.1) |
| LinkingTo: | Rcpp (≥ 1.0.8), RcppEigen |
| Suggests: | dplyr, knitr, rmarkdown, testthat (≥ 3.0.0), patchwork |
| Published: | 2025-09-09 |
| DOI: | 10.32614/CRAN.package.bbknnR |
| Author: | Yuchen Li [aut, cre] |
| Maintainer: | Yuchen Li |
| BugReports: | https://github.com/ycli1995/bbknnR/issues |
| License: | MIT + file |
| URL: | https://github.com/ycli1995/bbknnR,https://github.com/Teichlab/bbknn,https://bbknn.readthedocs.io/en/latest/ |
| NeedsCompilation: | yes |
| Materials: | README |
| CRAN checks: | bbknnR results |
Documentation:
Downloads:
Linking:
Please use the canonical formhttps://CRAN.R-project.org/package=bbknnRto link to this page.