Package: scran
Version: 1.4.5
Date: 2017-06-17
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, scater
Imports: Biobase, stats, methods, utils, graphics, grDevices, Matrix,
        edgeR, limma, dynamicTreeCut, FNN, igraph, shiny, zoo, statmod,
        splines, ggplot2, MASS, DT, viridis
Suggests: testthat, knitr, BiocStyle, limSolve, org.Mm.eg.db, DESeq2,
        monocle, S4Vectors, Rtsne, pracma
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
Author: Aaron Lun [aut, cre], Karsten Bach [aut], Jong Kyoung Kim [ctb],
        Antonio Scialdone [ctb], Laleh Haghverdi [ctb]
Packaged: 2017-07-18 01:12:10 UTC; biocbuild
Built: R 3.4.1; i386-w64-mingw32; 2017-07-18 06:51:26 UTC; windows
Archs: i386, x64
