Package: batchelor
Version: 1.2.1
Date: 2019-10-29
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, BiocNeighbors, BiocSingular, Matrix,
        DelayedArray, DelayedMatrixStats, scater, BiocParallel
Suggests: testthat, BiocStyle, knitr, beachmat, scran, scRNAseq
biocViews: Sequencing, RNASeq, Software, GeneExpression,
        Transcriptomics, SingleCell, BatchEffect, Normalization
LinkingTo: Rcpp, beachmat
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: 6.1.1
git_url: https://git.bioconductor.org/packages/batchelor
git_branch: RELEASE_3_10
git_last_commit: 55a03e0
git_last_commit_date: 2019-10-30
Date/Publication: 2019-10-30
Packaged: 2019-10-31 03:26:41 UTC; biocbuild
Author: Aaron Lun [aut, cre],
  Laleh Haghverdi [ctb]
Maintainer: Aaron Lun <infinite.monkeys.with.keyboards@gmail.com>
Built: R 3.6.1; x86_64-conda_cos6-linux-gnu; 2019-11-03 22:47:16 UTC; unix
