Package: scran
Version: 1.12.1
Date: 2019-05-26
Title: Methods for Single-Cell RNA-Seq Data Analysis
Authors@R: c(person("Aaron", "Lun", role = c("aut", "cre"), 
        email = "infinite.monkeys.with.keyboards@gmail.com"), 
        person("Karsten", "Bach", role = "aut"),
        person("Jong Kyoung", "Kim", role = "ctb"), 
        person("Antonio", "Scialdone", role="ctb"), 
        person("Laleh", "Haghverdi", role="ctb"))
Depends: SingleCellExperiment
Imports: SummarizedExperiment, S4Vectors, BiocGenerics, BiocParallel,
        Rcpp (>= 0.12.14), stats, methods, utils, Matrix, scater,
        edgeR, limma, dynamicTreeCut, BiocNeighbors, igraph, statmod,
        DelayedArray, DelayedMatrixStats, BiocSingular, dqrng
Suggests: testthat, BiocStyle, knitr, beachmat, HDF5Array, irlba,
        org.Mm.eg.db, DESeq2, monocle, pracma, Biobase, aroma.light
biocViews: ImmunoOncology, Normalization, Sequencing, RNASeq, Software,
        GeneExpression, Transcriptomics, SingleCell, Visualization,
        BatchEffect, Clustering
Description: Implements functions for low-level analyses of single-cell 
        RNA-seq data. Methods are provided for normalization of 
        cell-specific biases, assignment of cell cycle phase, 
        detection of highly variable and significantly correlated genes,
        correction of batch effects, identification of marker genes,
        and other common tasks in single-cell analysis workflows.
License: GPL-3
NeedsCompilation: yes
VignetteBuilder: knitr
SystemRequirements: C++11
LinkingTo: Rcpp, beachmat, BH, dqrng
RoxygenNote: 6.1.1
git_url: https://git.bioconductor.org/packages/scran
git_branch: RELEASE_3_9
git_last_commit: 83c15bd
git_last_commit_date: 2019-05-27
Date/Publication: 2019-05-27
Packaged: 2019-05-28 03:45:11 UTC; biocbuild
Author: Aaron Lun [aut, cre],
  Karsten Bach [aut],
  Jong Kyoung Kim [ctb],
  Antonio Scialdone [ctb],
  Laleh Haghverdi [ctb]
Maintainer: Aaron Lun <infinite.monkeys.with.keyboards@gmail.com>
Built: R 3.6.0; i386-w64-mingw32; 2019-05-28 13:47:48 UTC; windows
Archs: i386, x64
