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..

README.md Introduction to singleCellTK

Vignettes Man pages API and functions Files

Package details
Author	David Jenkins [aut] (<https://orcid.org/0000-0002-7451-4288>), Vidya Akavoor [aut], Salam Alabdullatif [aut], Shruthi Bandyadka [aut], Emma Briars [aut] (<https://orcid.org/0000-0001-9350-5523>), 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] (<https://orcid.org/0000-0002-6247-6595>), Joshua David Campbell [aut]
Bioconductor views	Alignment Clustering DifferentialExpression GeneExpression ImmunoOncology SingleCell
Maintainer	Yusuke Koga <ykoga07@bu.edu>
License	MIT + file LICENSE
Version	2.0.0
URL	https://compbiomed.github.io/sctk_docs/
Package repository	View on Bioconductor
Installation	Install the latest version of this package by entering the following in R: `if (!requireNamespace("BiocManager", quietly = TRUE)) install.packages("BiocManager") BiocManager::install("singleCellTK")`