To install this package, start R and enter:

## try http:// if https:// URLs are not supported
source("https://bioconductor.org/biocLite.R")
biocLite("SC3")

In most cases, you don't need to download the package archive at all.

SC3

DOI: 10.18129/B9.bioc.SC3    

Single-Cell Consensus Clustering

Bioconductor version: Release (3.6)

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")):

Installation

To install this package, start R and enter:

## try http:// if https:// URLs are not supported
source("https://bioconductor.org/biocLite.R")
biocLite("SC3")

Documentation

HTML R Script SC3 package manual
PDF   Reference Manual
Text   NEWS

Details

biocViews Classification, Clustering, DataRepresentation, DifferentialExpression, DimensionReduction, GUI, RNASeq, SingleCell, Software, SupportVectorMachine, Transcription, Transcriptomics, Visualization
Version 1.7.2
In Bioconductor since BioC 3.3 (R-3.3) (1.5 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
LinkingTo Rcpp, RcppArmadillo
Suggests knitr, rmarkdown, mclust, scater
SystemRequirements
Enhances
URL https://github.com/hemberg-lab/SC3
BugReports https://support.bioconductor.org/t/sc3/
Depends On Me
Imports Me
Suggests Me
Build Report  

Package Archives

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

Source Package SC3_1.7.2.tar.gz
Windows Binary SC3_1.7.2.zip (32- & 64-bit)
Mac OS X 10.11 (El Capitan) SC3_1.7.2.tgz
Source Repository git clone https://git.bioconductor.org/packages/SC3
Package Short Url http://bioconductor.org/packages/SC3/
Package Downloads Report Download Stats
Old Source Packages for BioC 3.6 Source Archive

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