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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 gmail.com>

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

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


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

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")

Details 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) (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 Linking To Rcpp, RcppArmadillo Enhances Depends On Me Imports Me Suggests Me Links To Me Build Report Build Report Package Archives

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

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