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: 2.0.1 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: 2025-06-05 DOI: 10.32614/CRAN.package.bbknnR Author: Yuchen Li [aut, cre] Maintainer: Yuchen Li <ycli1995 at outlook.com> BugReports: https://github.com/ycli1995/bbknnR/issues License: MIT + file LICENSE URL: https://github.com/ycli1995/bbknnR, https://github.com/Teichlab/bbknn, https://bbknn.readthedocs.io/en/latest/ NeedsCompilation: yes Materials: README CRAN checks: bbknnR resultsRetroSearch is an open source project built by @garambo | Open a GitHub Issue
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