SC3
Single-Cell Consensus Clustering
Bioconductor version: 3.23 · Package version: 1.40.0
Other Bioconductor versions
devel is the development version; release is the current stable one.
3.24 (devel), 3.23 (release)
A tool for unsupervised clustering and analysis of single cell RNA-Seq data.
DOI: 10.18129/B9.bioc.SC3
Installation
if (!require("BiocManager", quietly = TRUE))
install.packages("BiocManager")
BiocManager::install("SC3")Details
| Maintainer | Vladimir Kiselev <vladimir.yu.kiselev@gmail.com> |
| Author | Vladimir Kiselev |
| License | GPL-3 |
| URL | https://github.com/hemberg-lab/SC3 |
| Bug Reports | https://support.bioconductor.org/t/sc3/ |
| Source branch | RELEASE_3_23 |
| Build report | Bioconductor build system, r-universe |
| biocViews | Classification, Clustering, DataRepresentation, DifferentialExpression, DimensionReduction, GUI, ImmunoOncology, RNASeq, SingleCell, Software, SupportVectorMachine, Transcription, Transcriptomics, Visualization |
| Package Short Url | https://bioconductor.org/packages/SC3/ |
Citation
From within R, enter citation("SC3"):
Vladimir Kiselev. SC3: Single-Cell Consensus Clustering. doi:10.18129/B9.bioc.SC3, R package version 1.40.0, https://bioconductor.org/packages/SC3.
Generated from the package metadata; it may differ from the package's own citation.
Documentation
Download
Follow the installation instructions to use this package in your R session.
| Source package | SC3_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
Reverse dependencies
Imports Me (1): FEAST
Suggests Me (3): InteractiveComplexHeatmap, scTreeViz, VAExprs