Package: batchelor
Version: 1.6.2
Date: 2020-11-25
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, 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: 56b8c5f
git_last_commit_date: 2020-11-26
Date/Publication: 2020-11-26
Packaged: 2020-11-26 22:57:09 UTC; biocbuild
Author: Aaron Lun [aut, cre],
  Laleh Haghverdi [ctb]
Maintainer: Aaron Lun <infinite.monkeys.with.keyboards@gmail.com>
Built: R 4.0.3; x86_64-apple-darwin13.4.0; 2021-03-29 06:33:21 UTC; unix
