SC3: consensus clustering of single-cell RNA-seq data
SC3: consensus clustering of single-cell RNA-seq data
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New York: Nature Publishing Group US
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Language
English
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Publisher
New York: Nature Publishing Group US
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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-cell RNA-seq enables the quantitative characterization of cell types 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 (
http://bioconductor.org/packages/SC3
). We demonstrate that SC3 is capable of identifying subclones from the transcriptomes of neoplastic cells collected from patients....
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Full title
SC3: consensus clustering of single-cell RNA-seq data
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TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_5410170
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_5410170
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ISSN
1548-7091
E-ISSN
1548-7105
DOI
10.1038/nmeth.4236
