Package: batchelor
Version: 1.0.1
Date: 2019-05-22
Title: Single-Cell Batch Correction Methods
Authors@R: c(person("Aaron", "Lun", role = c("aut", "cre"), 
        email = "infinite.monkeys.with.keyboards@gmail.com")) 
Depends: SingleCellExperiment
Imports: SummarizedExperiment, S4Vectors, BiocGenerics, Rcpp, stats,
        methods, BiocNeighbors, BiocSingular, Matrix, DelayedArray,
        DelayedMatrixStats, scater, BiocParallel
Suggests: testthat, BiocStyle, knitr, beachmat, scRNAseq
biocViews: Sequencing, RNASeq, Software, GeneExpression,
        Transcriptomics, SingleCell, BatchEffect, Normalization
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 a simple
        sparsity-preserving translation of the population means. 
        Functions are also provided for 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 different batches.
License: GPL-3
NeedsCompilation: yes
VignetteBuilder: knitr
SystemRequirements: C++11
LinkingTo: Rcpp, beachmat
RoxygenNote: 6.1.1
git_url: https://git.bioconductor.org/packages/batchelor
git_branch: RELEASE_3_9
git_last_commit: a8ba15b
git_last_commit_date: 2019-05-22
Date/Publication: 2019-05-23
Packaged: 2019-05-24 03:27:50 UTC; biocbuild
Author: Aaron Lun [aut, cre]
Maintainer: Aaron Lun <infinite.monkeys.with.keyboards@gmail.com>
Built: R 3.6.1; x86_64-conda_cos6-linux-gnu; 2019-08-16 16:45:33 UTC; unix
