Package: CellMixS
Type: Package
Title: Evaluate Cellspecific Mixing
Version: 1.6.1
Authors@R: c(person("Almut", "Lütge", role = c("aut", "cre"), email = "almut.luetge@uzh.ch"))
Description: CellMixS provides metrics and functions to evaluate batch effects, 
             data integration and batch effect correction in single cell trancriptome
             data with single cell resolution. Results can be visualized and summarised
             on different levels, e.g. on cell, celltype or dataset level. 
License: GPL (>=2)
Imports: BiocNeighbors, ggplot2, scater, viridis, cowplot,
        SummarizedExperiment, SingleCellExperiment, tidyr, magrittr,
        dplyr, ggridges, stats, purrr, methods, BiocParallel,
        BiocGenerics
Depends: kSamples, R (>= 4.0)
biocViews: SingleCell, Transcriptomics, GeneExpression, BatchEffect
BugReports: https://github.com/almutlue/CellMixS/issues
URL: https://github.com/almutlue/CellMixS
Encoding: UTF-8
RoxygenNote: 7.1.1
VignetteBuilder: knitr
Suggests: BiocStyle, knitr, rmarkdown, testthat, limma, Rtsne
git_url: https://git.bioconductor.org/packages/CellMixS
git_branch: RELEASE_3_12
git_last_commit: 7f356d8
git_last_commit_date: 2020-12-17
Date/Publication: 2020-12-17
NeedsCompilation: no
Packaged: 2020-12-18 01:07:51 UTC; biocbuild
Author: Almut Lütge [aut, cre]
Maintainer: Almut Lütge <almut.luetge@uzh.ch>
Built: R 4.0.3; ; 2020-12-18 13:58:08 UTC; windows
