Challenges in unsupervised clustering of single-cell RNA-seq data
Challenges in unsupervised clustering of single-cell RNA-seq data
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London: Nature Publishing Group UK
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English
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London: Nature Publishing Group UK
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Contents
Single-cell RNA sequencing (scRNA-seq) allows researchers to collect large catalogues detailing the transcriptomes of individual cells. Unsupervised clustering is of central importance for the analysis of these data, as it is used to identify putative cell types. However, there are many challenges involved. We discuss why clustering is a challengin...
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Challenges in unsupervised clustering of single-cell RNA-seq data
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TN_cdi_proquest_miscellaneous_2165100125
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_miscellaneous_2165100125
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ISSN
1471-0056
E-ISSN
1471-0064
DOI
10.1038/s41576-018-0088-9
