singleCellTK: Comprehensive and Interactive Analysis of Single Cell RNA-Seq Data

Run common single cell analysis in the R console or directly through your browser. Includes many functions for import, quality control, normalization, batch correction, clustering, differential expression, and visualization..

Package details

AuthorDavid Jenkins [aut] (<>), Vidya Akavoor [aut], Salam Alabdullatif [aut], Shruthi Bandyadka [aut], Emma Briars [aut] (<>), Xinyun Cao [aut], Sebastian Carrasco Pro [aut], Tyler Faits [aut], Rui Hong [aut], Mohammed Muzamil Khan [aut], Yusuke Koga [aut, cre], Anastasia Leshchyk [aut], Irzam Sarfraz [aut], Yichen Wang [aut], Zhe Wang [aut], W. Evan Johnson [aut] (<>), Joshua David Campbell [aut]
Bioconductor views Alignment Clustering DifferentialExpression GeneExpression ImmunoOncology SingleCell
MaintainerYusuke Koga <>
LicenseMIT + file LICENSE
Package repositoryView on Bioconductor
Installation Install the latest version of this package by entering the following in R:
if (!requireNamespace("BiocManager", quietly = TRUE))


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singleCellTK documentation built on Nov. 8, 2020, 5:21 p.m.