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batchelor

Single-Cell Batch Correction Methods

Bioconductor version: 3.23 · Package version: 1.28.0

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.

Installation

if (!require("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

BiocManager::install("batchelor")

Details

MaintainerAaron Lun <infinite.monkeys.with.keyboards@gmail.com>
AuthorAaron Lun [aut, cre], Laleh Haghverdi [ctb]
LicenseGPL-3
System RequirementsC++11
Downloads rank5075
Source branchRELEASE_3_23
biocViewsBatchEffect, GeneExpression, Normalization, RNASeq, Sequencing, SingleCell, Software, Transcriptomics

Documentation

Download

Dependencies

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

LinkingTo: Rcpp

Suggests: testthat, BiocStyle, knitr, rmarkdown, scran, scater, bluster, scRNAseq

Reverse dependencies

Imports Me (6): BatChef, chevreulProcess, ChromSCape, mumosa, scMerge, singleCellTK

Suggests Me (4): anglemania, Canek, RaceID, TSCAN