Perform Batch Balanced KNN in R [R package bbknnR version 2.0.2]

Yuchen Li

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年09月09日

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 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:

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