Package: scran
Version: 1.6.9
Date: 2018-03-06
Title: Methods for Single-Cell RNA-Seq Data Analysis
Authors@R: c(person("Aaron", "Lun", role = c("aut", "cre"), email =
        "alun@wehi.edu.au"), person("Karsten", "Bach", role = "aut"),
        person("Jong Kyoung", "Kim", role = "ctb"), person("Antonio", 
        "Scialdone", role="ctb"), person("Laleh", "Haghverdi", 
        role="ctb"))
Maintainer: Aaron Lun <alun@wehi.edu.au>
Depends: R (>= 3.4), BiocParallel, SingleCellExperiment
Imports: SummarizedExperiment, S4Vectors, BiocGenerics, Rcpp (>=
        0.12.14), stats, methods, utils, graphics, grDevices, Matrix,
        scater, edgeR, limma, dynamicTreeCut, FNN, igraph, shiny, zoo,
        statmod, ggplot2, DT, viridis
Suggests: testthat, BiocStyle, knitr, beachmat, HDF5Array, limSolve,
        org.Mm.eg.db, DESeq2, monocle, Rtsne, pracma, Biobase, irlba,
        aroma.light
biocViews: Normalization, Sequencing, RNASeq, Software, GeneExpression,
        Transcriptomics, SingleCell, Visualization, BatchEffect
Description: Implements a variety of low-level analyses of single-cell 
        RNA-seq data. Methods are provided for normalization of 
        cell-specific biases, assignment of cell cycle phase, and 
        detection of highly variable and significantly correlated genes.
License: GPL-3
NeedsCompilation: yes
VignetteBuilder: knitr
SystemRequirements: C++11
LinkingTo: beachmat, Rcpp, Rhdf5lib
Author: Aaron Lun [aut, cre], Karsten Bach [aut], Jong Kyoung Kim [ctb],
        Antonio Scialdone [ctb], Laleh Haghverdi [ctb]
Packaged: 2018-03-07 02:17:33 UTC; biocbuild
Built: R 3.4.3; i386-w64-mingw32; 2018-03-07 08:19:31 UTC; windows
Archs: i386, x64
