Bioconductor Developer Survey 2026 Now Open!

SC3

This is the development version of SC3; for the stable release version, see SC3.

All versions 3.24 (devel), 3.23 (release), 3.22, 3.21, 3.20, 3.19, 3.18, 3.17, 3.16, 3.15, 3.14, 3.13, 3.12, 3.11, 3.10, 3.9, 3.8, 3.7, 3.6, 3.5, 3.4, 3.3

Single-Cell Consensus Clustering


Bioconductor version: Development (3.24)

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

Author: Vladimir Kiselev

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

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

Vladimir Kiselev. SC3: Single-Cell Consensus Clustering. doi:10.18129/B9.bioc.SC3, R package version 1.41.0, https://bioconductor.org/packages/SC3.

Generated from the package metadata; it may differ from the package's own citation.

Installation

To install this package, start R (version "4.6") and enter:

if (!require("BiocManager", quietly = TRUE))
    install.packages("BiocManager")

## The following initializes the development version of Bioconductor
BiocManager::install(version = "devel")

BiocManager::install("SC3")

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

Documentation

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

browseVignettes("SC3")
SC3 package manual HTML R Script
Reference ManualPDF
NEWSText
LICENSEText

Details

biocViews Classification, Clustering, DataRepresentation, DifferentialExpression, DimensionReduction, GUI, ImmunoOncology, RNASeq, SingleCell, Software, SupportVectorMachine, Transcription, Transcriptomics, Visualization
Version1.41.0
In Bioconductor sinceBioC 3.3 (R-3.3) (10.5 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
System Requirements
URLhttps://github.com/hemberg-lab/SC3
Bug Reportshttps://support.bioconductor.org/t/sc3/
See More
Suggests knitr, rmarkdown, mclust, scater, BiocStyle
Linking To Rcpp, RcppArmadillo
Enhances
Depends On Me
Imports Me FEAST
Suggests Me InteractiveComplexHeatmap, scTreeViz, VAExprs
Links To Me
Build Report Build Report, r-universe

Package Archives

Follow Installation instructions to use this package in your R session.

Source Package SC3_1.41.0.tar.gz
Windows Binary (x86_64) SC3_1.41.0.zip (64-bit only)
macOS Binary (big-sur-x86_64) SC3_1.41.0.tgz
macOS Binary (sonoma-arm64) SC3_1.41.0.tgz
Source Repositorygit clone https://git.bioconductor.org/packages/SC3
Source Repository (Developer Access)git clone git@git.bioconductor.org:packages/SC3
Package Short Url https://bioconductor.org/packages/SC3/
Package Downloads ReportDownload Stats