scran : Methods for Single-Cell RNA-Seq Data Analysis

Package: scran
Version: 1.0.3
Date: 2016-05-20
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"))
Maintainer: Aaron Lun <alun@wehi.edu.au>
Depends: R (>= 3.3.0), BiocParallel, scater
Imports: dynamicTreeCut, zoo, edgeR, limma, stats, BiocGenerics,
methods, Biobase, utils, Matrix
Suggests: limSolve, testthat, knitr, BiocStyle, org.Mm.eg.db, DESeq2,
monocle, S4Vectors
biocViews: Normalization, Sequencing, RNASeq, Software, GeneExpression,
Transcriptomics
Description: This package 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]
Packaged: 2016-05-22 06:08:34 UTC; biocbuild