Package: batchelor Version: 1.29.0 Date: 2026-04-09 Title: Single-Cell Batch Correction Methods Authors@R: c(person("Aaron", "Lun", role = c("aut", "cre"), email = "infinite.monkeys.with.keyboards@gmail.com"), person("Laleh", "Haghverdi", role="ctb")) Depends: SingleCellExperiment Imports: SummarizedExperiment, S4Vectors, BiocGenerics, Rcpp, stats, methods, utils, igraph, BiocNeighbors, BiocSingular, Matrix, SparseArray, DelayedArray (>= 0.31.5), DelayedMatrixStats, BiocParallel, scuttle, ResidualMatrix, ScaledMatrix, beachmat Suggests: testthat, BiocStyle, knitr, rmarkdown, scran, scater, bluster, scRNAseq biocViews: Sequencing, RNASeq, Software, GeneExpression, Transcriptomics, SingleCell, BatchEffect, Normalization LinkingTo: Rcpp Description: 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. License: GPL-3 NeedsCompilation: yes VignetteBuilder: knitr SystemRequirements: C++11 RoxygenNote: 7.3.2 Config/pak/sysreqs: libglpk-dev libxml2-dev zlib1g-dev Repository: https://bioc.r-universe.dev Date/Publication: 2026-04-28 12:49:53 UTC RemoteUrl: https://github.com/bioc/batchelor RemoteRef: HEAD RemoteSha: 165c212df5312de6da18dc0a2b78929beaffc812 Packaged: 2026-06-23 15:36:33 UTC; root Author: Aaron Lun [aut, cre], Laleh Haghverdi [ctb] Maintainer: Aaron Lun