This is the development version of SC3; for the stable release version, see SC3.
Single-Cell Consensus ClusteringBioconductor version: Development (3.22)
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, entercitation("SC3")
): Installation
To install this package, start R (version "4.5") 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.
DocumentationTo 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 1.37.0 In Bioconductor since BioC 3.3 (R-3.3) (9 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 Package Archives
Follow Installation instructions to use this package in your R session.
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