scran: Methods for Single-Cell RNA-Seq Data Analysis
Version 1.4.5

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.

Getting started

Package details

AuthorAaron Lun [aut, cre], Karsten Bach [aut], Jong Kyoung Kim [ctb], Antonio Scialdone [ctb], Laleh Haghverdi [ctb]
Bioconductor views BatchEffect GeneExpression Normalization RNASeq Sequencing SingleCell Software Transcriptomics Visualization
MaintainerAaron Lun <>
Package repositoryView on Bioconductor
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scran documentation built on July 19, 2017, 2:01 a.m.