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bbknnR: Perform Batch Balanced KNN in R

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 <ycli1995 at outlook.com>
BugReports:https://github.com/ycli1995/bbknnR/issues
License:MIT + fileLICENSE
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:

Reference manual:bbknnR.html ,bbknnR.pdf
Vignettes:bbknnR-tutorial (source,R code)

Downloads:

Package source: bbknnR_2.0.2.tar.gz
Windows binaries: r-devel:bbknnR_2.0.2.zip, r-release:bbknnR_2.0.2.zip, r-oldrel:bbknnR_2.0.2.zip
macOS binaries: r-release (arm64):bbknnR_2.0.2.tgz, r-oldrel (arm64):bbknnR_2.0.2.tgz, r-release (x86_64):bbknnR_2.0.2.tgz, r-oldrel (x86_64):bbknnR_2.0.2.tgz
Old sources: bbknnR archive

Linking:

Please use the canonical formhttps://CRAN.R-project.org/package=bbknnRto link to this page.


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