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: 1.1.1
Depends: R (≥ 4.1.0), methods, utils
Imports: future, glmnet, Matrix, magrittr, Rcpp, RcppAnnoy, reticulate, rlang, Rtsne, Seurat, SeuratObject, tidytable, uwot (≥ 0.1.14)
LinkingTo: Rcpp (≥ 1.0.8)
Suggests: dplyr, knitr, rmarkdown, testthat (≥ 3.0.0), patchwork
Published: 2024-02-13
DOI: 10.32614/CRAN.package.bbknnR
Author: Yuchen Li [aut, cre]
Maintainer: Yuchen Li <ycli1995 at>
License: MIT + file LICENSE
NeedsCompilation: yes
Materials: README
CRAN checks: bbknnR results


Reference manual: bbknnR.pdf
Vignettes: bbknnR-tutorial


Package source: bbknnR_1.1.1.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): bbknnR_1.1.1.tgz, r-oldrel (arm64): bbknnR_1.1.1.tgz, r-release (x86_64): bbknnR_1.1.1.tgz, r-oldrel (x86_64): bbknnR_1.1.1.tgz
Old sources: bbknnR archive


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