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SC3

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

Single-Cell Consensus Clustering


Bioconductor version: Development (3.19)

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

Author:

Maintainer: ERROR

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

Installation

To install this package, start R (version "4.4") and enter:


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

# The following initializes usage of Bioc devel
BiocManager::install(version='devel')

BiocManager::install("SC3")

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

Documentation

Reference Manual PDF

Details

biocViews Classification, Clustering, DataRepresentation, DifferentialExpression, DimensionReduction, GUI, ImmunoOncology, RNASeq, SingleCell, Software, SupportVectorMachine, Transcription, Transcriptomics, Visualization
Version 1.31.0
In Bioconductor since BioC 3.3 (R-3.3) (8 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
URL https://github.com/hemberg-lab/SC3
Bug Reports https://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

Package Archives

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

Source Package
Windows Binary
macOS Binary (x86_64)
macOS Binary (arm64)
Source Repository git 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/
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