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

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.

Package details

AuthorAaron Lun [aut, cre], Karsten Bach [aut], Jong Kyoung Kim [ctb], Antonio Scialdone [ctb], Laleh Haghverdi [ctb]
Bioconductor views BatchEffect Clustering GeneExpression Normalization RNASeq Sequencing SingleCell Software Transcriptomics Visualization
MaintainerAaron Lun <[email protected]>
LicenseGPL-3
Version1.10.1
Package repositoryView on Bioconductor
Installation Install the latest version of this package by entering the following in R:
source("https://bioconductor.org/biocLite.R")
biocLite("scran")

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scran documentation built on Nov. 4, 2018, 6 p.m.