Package: bbknnR
Title: Perform Batch Balanced KNN in R
Version: 1.0.2
Date: 2022-09-22
Authors@R: person(given = "Yuchen", family = "Li", email = "liyuchen_1995@outlook.com", role = c("aut", "cre"))
Description: 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.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.1.0), methods, utils
LinkingTo: Rcpp (>= 1.0.8)
Imports: dplyr, glmnet, Matrix, Rcpp, RcppAnnoy, reticulate, Rtsne,
        Seurat, SeuratObject, tidytable, uwot (>= 0.1.14)
LazyData: true
RoxygenNote: 7.2.1
URL: https://github.com/ycli1995/bbknnR,
        https://github.com/Teichlab/bbknn,
        https://bbknn.readthedocs.io/en/latest/
BugReports: https://github.com/ycli1995/bbknnR/issues
Suggests: knitr, rmarkdown, testthat (>= 3.0.0), patchwork
Config/testthat/edition: 3
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2022-09-22 23:41:16 UTC; mydocker
Author: Yuchen Li [aut, cre]
Maintainer: Yuchen Li <liyuchen_1995@outlook.com>
Repository: CRAN
Date/Publication: 2022-09-23 00:00:02 UTC
Built: R 4.1.2; x86_64-apple-darwin17.0; 2022-09-23 11:27:51 UTC; unix
Archs: bbknnR.so.dSYM
