Package: batchelor
Version: 1.6.3
Date: 2021-04-16
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,
        DelayedArray, DelayedMatrixStats, BiocParallel, scuttle,
        ResidualMatrix
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: 7.1.1
git_url: https://git.bioconductor.org/packages/batchelor
git_branch: RELEASE_3_12
git_last_commit: b108a53
git_last_commit_date: 2021-04-16
Date/Publication: 2021-04-16
Packaged: 2021-04-16 23:42:25 UTC; biocbuild
Author: Aaron Lun [aut, cre],
  Laleh Haghverdi [ctb]
Maintainer: Aaron Lun <infinite.monkeys.with.keyboards@gmail.com>
Built: R 4.0.5; i386-w64-mingw32; 2021-04-17 11:03:28 UTC; windows
Archs: i386, x64
