batchelor: Single-Cell Batch Correction Methods

Implements a variety of methods for batch correction of single-cell (RNA sequencing) data. This includes methods based on detecting mutually nearest neighbors, as well as several efficient variants of linear regression of the log-expression values. Functions are also provided to perform global rescaling to remove differences in depth between batches, and to perform a principal components analysis that is robust to differences in the numbers of cells across batches.

Package details

AuthorAaron Lun [aut, cre], Laleh Haghverdi [ctb]
Bioconductor views BatchEffect GeneExpression Normalization RNASeq Sequencing SingleCell Software Transcriptomics
MaintainerAaron Lun <infinite.monkeys.with.keyboards@gmail.com>
LicenseGPL-3
Version1.6.3
Package repositoryView on Bioconductor
Installation Install the latest version of this package by entering the following in R:
if (!requireNamespace("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

BiocManager::install("batchelor")

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batchelor documentation built on April 17, 2021, 6:02 p.m.