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Bioconductor - SC3
https://bioconductor.org/packages/release/bioc/html/SC3.html
WebHome. Bioconductor 3.18. Software Packages. SC3. Single-Cell Consensus Clustering. DOI: 10.18129/B9.bioc.SC3. Bioconductor version: Release (3.18) 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>
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SC3: consensus clustering of single-cell RNA-seq data - Nature
https://www.nature.com/articles/nmeth.4236
WebMar 27, 2017 · Nature Communications (2024) Single-cell consensus clustering (SC3) provides user-friendly, robust and accurate cell clustering as well as downstream analysis for single-cell RNA-seq data. Single...
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SC3: consensus clustering of single-cell RNA-seq data
https://pubmed.ncbi.nlm.nih.gov/28346451/
WebWe present single-cell consensus clustering (SC3), a user-friendly tool for unsupervised clustering, which achieves high accuracy and robustness by combining multiple clustering solutions through a consensus approach (http://bioconductor.org/packages/SC3).
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GitHub - hemberg-lab/SC3: A tool for the unsupervised clustering …
https://github.com/hemberg-lab/SC3
WebAbout. A tool for the unsupervised clustering of cells from single cell RNA-Seq experiments. bioconductor.org/packages/SC3. single-cell-rna-seq bioconductor-package human-cell-atlas. Readme. GPL-3.0 license. Activity. Custom properties. 115 stars. 11 watching. 55 forks. Report repository. Releases. No releases published. Packages.
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SC3 package manual - Bioconductor
https://bioconductor.org/packages/release/bioc/vignettes/SC3/inst/doc/SC3.html
WebOct 24, 2023 · 1 Introduction. Single-Cell Consensus Clustering ( SC3) is a tool for unsupervised clustering of scRNA-seq data. SC3 achieves high accuracy and robustness by consistently integrating different clustering solutions through a consensus approach. An interactive graphical implementation makes SC3 accessible to a wide audience of users.
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SC3 - consensus clustering of single-cell RNA-Seq data - PMC
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5410170/
WebSingle-cell RNA-seq (scRNA-seq) enables a quantitative cell-type characterisation based on global transcriptome profiles. We present Single-Cell Consensus Clustering (SC3), a user-friendly tool for unsupervised clustering which achieves high accuracy and robustness by combining multiple clustering solutions through a consensus approach.
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SC3-seq: a method for highly parallel and quantitative …
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4482058/
WebMay 5, 2015 · The SC3-seq allows excellent quantitative measurement of mRNAs ranging from the 10,000-cell to 1-cell level, and accordingly, allows an accurate estimate of the transcript levels by a regression of the read counts of …
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SC3 package - RDocumentation
https://www.rdocumentation.org/packages/SC3/versions/1.1.4
WebSC3 package - RDocumentation. Q: What is this? A: SC3 is an interactive tool for the unsupervised clustering of cells from single cell RNA-Seq experiments. SC3 main page is on BioConductor. Q: How to install/run SC3? A: Please follow the SC3 manual from its BioConductor page.
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Single-cell Consensus Clustering (SC3) - Wellcome Sanger Institute
https://www.sanger.ac.uk/tool/single-cell-consensus-clustering-sc3/
WebSC3 is a method for unsupervised clustering of single-cell RNA-seq data. In addition to a graphical user-interface, SC3 provides additional information about potential outliers and marker genes for each cluster. Different cell-types is one of the most fundamental aspects of multi-cellular organisms.
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SC3 - consensus clustering of single-cell RNA-Seq data | bioRxiv
https://www.biorxiv.org/content/10.1101/036558v3
WebSep 2, 2016 · We present Single-Cell Consensus Clustering (SC3), a tool for unsupervised clustering of scRNA-seq data. SC3 achieves high accuracy and robustness by consistently integrating different clustering solutions through a consensus approach.
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