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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: 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 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.pdf
Vignettes: bbknnR-tutorial

Downloads:

Package source: bbknnR_1.1.1.tar.gz
Windows binaries: r-devel: bbknnR_1.1.1.zip, r-release: bbknnR_1.1.1.zip, r-oldrel: bbknnR_1.1.1.zip
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

Linking:

Please use the canonical form https://CRAN.R-project.org/package=bbknnR to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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