This package is for version 3.7 of Bioconductor; for the stable, up-to-date release version, see SC3.
Bioconductor version: 3.7
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")
):
To install this package, start R and enter:
## try http:// if https:// URLs are not supported source("https://bioconductor.org/biocLite.R") biocLite("SC3")
To view documentation for the version of this package installed in your system, start R and enter:
browseVignettes("SC3")
HTML | R Script | SC3 package manual |
Reference Manual | ||
Text | NEWS |
biocViews | Classification, Clustering, DataRepresentation, DifferentialExpression, DimensionReduction, GUI, RNASeq, SingleCell, Software, SupportVectorMachine, Transcription, Transcriptomics, Visualization |
Version | 1.8.0 |
In Bioconductor since | BioC 3.3 (R-3.3) (2.5 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 | |
Links To Me | |
Build Report |
Follow Installation instructions to use this package in your R session.
Source Package | SC3_1.8.0.tar.gz |
Windows Binary | SC3_1.8.0.zip (32- & 64-bit) |
Mac OS X 10.11 (El Capitan) | SC3_1.8.0.tgz |
Source Repository | git clone https://git.bioconductor.org/packages/SC3 |
Source Repository (Developer Access) | git clone git@git.bioconductor.org:packages/SC3 |
Package Short Url | http://bioconductor.org/packages/SC3/ |
Package Downloads Report | Download Stats |
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