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SC3

Single-Cell Consensus Clustering

Bioconductor version: 3.23 · Package version: 1.40.0

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

Installation

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

BiocManager::install("SC3")

Details

MaintainerVladimir Kiselev <vladimir.yu.kiselev@gmail.com>
AuthorVladimir Kiselev
LicenseGPL-3
URLhttps://github.com/hemberg-lab/SC3
Bug Reportshttps://support.bioconductor.org/t/sc3/
Downloads rank974
Source branchRELEASE_3_23
biocViewsClassification, Clustering, DataRepresentation, DifferentialExpression, DimensionReduction, GUI, ImmunoOncology, RNASeq, SingleCell, Software, SupportVectorMachine, Transcription, Transcriptomics, Visualization

Documentation

Download

Follow the installation instructions to use this package in your R session.

Source packageSC3_1.40.0.tar.gz
Windows binary (x86_64)SC3_1.40.0.zip
macOS binary (arm64)SC3_1.40.0.tgz
macOS binary (x86_64)SC3_1.40.0.tgz
Dependencies

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, BiocStyle

Reverse dependencies

Imports Me (1): FEAST

Suggests Me (3): InteractiveComplexHeatmap, scTreeViz, VAExprs