Package: scran
Version: 1.14.1
Date: 2019-11-02
Title: Methods for Single-Cell RNA-Seq Data Analysis
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, identification of marker genes, 
    and other common tasks in routine single-cell analysis workflows.
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"))
Depends: SingleCellExperiment
Imports: SummarizedExperiment, S4Vectors, BiocGenerics, BiocParallel,
        Rcpp, stats, methods, utils, Matrix, scater, edgeR, limma,
        BiocNeighbors, igraph, statmod, DelayedArray,
        DelayedMatrixStats, BiocSingular, dqrng
Suggests: testthat, BiocStyle, knitr, beachmat, HDF5Array, scRNAseq,
        dynamicTreeCut, DESeq2, monocle, Biobase, aroma.light, pheatmap
biocViews: ImmunoOncology, Normalization, Sequencing, RNASeq, Software,
        GeneExpression, Transcriptomics, SingleCell, Visualization,
        BatchEffect, Clustering
LinkingTo: Rcpp, beachmat, BH, dqrng
License: GPL-3
NeedsCompilation: yes
VignetteBuilder: knitr
SystemRequirements: C++11
RoxygenNote: 6.1.1
git_url: https://git.bioconductor.org/packages/scran
git_branch: RELEASE_3_10
git_last_commit: c701211
git_last_commit_date: 2019-11-02
Date/Publication: 2019-11-02
Packaged: 2019-11-03 01:48:22 UTC; biocbuild
Author: Aaron Lun [aut, cre],
  Karsten Bach [aut],
  Jong Kyoung Kim [ctb],
  Antonio Scialdone [ctb]
Maintainer: Aaron Lun <infinite.monkeys.with.keyboards@gmail.com>
Built: R 3.6.1; x86_64-conda_cos6-linux-gnu; 2019-11-05 08:04:17 UTC; unix
