DOI: 10.18129/B9.bioc.SC3    

This package is for version 3.10 of Bioconductor; for the stable, up-to-date release version, see SC3.

Single-Cell Consensus Clustering

Bioconductor version: 3.10

A tool for unsupervised clustering and analysis of single cell RNA-Seq data.

Author: Vladimir Kiselev

Maintainer: Vladimir Kiselev <vladimir.yu.kiselev at>

Citation (from within R, enter citation("SC3")):


To install this package, start R (version "3.6") and enter:

if (!requireNamespace("BiocManager", quietly = TRUE))


For older versions of R, please refer to the appropriate Bioconductor release.


To view documentation for the version of this package installed in your system, start R and enter:



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biocViews Classification, Clustering, DataRepresentation, DifferentialExpression, DimensionReduction, GUI, ImmunoOncology, RNASeq, SingleCell, Software, SupportVectorMachine, Transcription, Transcriptomics, Visualization
Version 1.14.0
In Bioconductor since BioC 3.3 (R-3.3) (4 years)
License GPL-3
Depends R (>= 3.3)
Imports graphics, stats, utils, methods, e1071, parallel, foreach, doParallel, doRNG, shiny, ggplot2, pheatmap (>= 1.0.8), ROCR, robustbase, rrcov, cluster, WriteXLS, Rcpp (>= 0.11.1), SummarizedExperiment, SingleCellExperiment, BiocGenerics, S4Vectors
LinkingTo Rcpp, RcppArmadillo
Suggests knitr, rmarkdown, mclust, scater
Depends On Me
Imports Me
Suggests Me
Links To Me
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Source Package SC3_1.14.0.tar.gz
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Mac OS X 10.11 (El Capitan) SC3_1.14.0.tgz
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