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bbknnR  

Perform Batch Balanced KNN in R
View on CRAN: Click here


Download and install bbknnR package within the R console
Install from CRAN:
install.packages("bbknnR")

Install from Github:
library("remotes")
install_github("cran/bbknnR")

Install by package version:
library("remotes")
install_version("bbknnR", "2.0.2")



Attach the package and use:
library("bbknnR")
Maintained by
Yuchen Li
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2022-05-27
Latest Update: 2025-06-05
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.
How to cite:
Yuchen Li (2022). bbknnR: Perform Batch Balanced KNN in R. R package version 2.0.2, https://cran.r-project.org/web/packages/bbknnR. Accessed 06 Mar. 2026.
Previous versions and publish date:
1.0.0 (2022-05-27 10:00), 1.0.1 (2022-08-23 08:10), 1.0.2 (2022-09-23 02:00), 1.1.0 (2023-11-20 16:10), 1.1.1 (2024-02-13 11:20), 2.0.0 (2025-06-03 11:40), 2.0.1 (2025-06-05 14:10)
Other packages that cited bbknnR R package
View bbknnR citation profile
Other R packages that bbknnR depends, imports, suggests or enhances
Complete documentation for bbknnR
Functions, R codes and Examples using the bbknnR R package
Some associated functions: RidgeRegression . RunBBKNN . bbknnR-package . panc8_small . 
Some associated R codes: AllGenerics.R . RcppExports.R . bbknn.R . bbknnR-package.R . data.R . ridge_regression.R . utils.R .  Full bbknnR package functions and examples
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