TooManyCells identifies and visualizes relationships of single-cell clades
TooManyCells identifies and visualizes relationships of single-cell clades
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Publisher
New York: Nature Publishing Group US
Journal title
Language
English
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Publication information
Publisher
New York: Nature Publishing Group US
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Scope and Contents
Contents
Identifying and visualizing transcriptionally similar cells is instrumental for accurate exploration of the cellular diversity revealed by single-cell transcriptomics. However, widely used clustering and visualization algorithms produce a fixed number of cell clusters. A fixed clustering ‘resolution’ hampers our ability to identify and visualize ec...
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Full title
TooManyCells identifies and visualizes relationships of single-cell clades
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TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_7439807
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_7439807
Other Identifiers
ISSN
1548-7091
E-ISSN
1548-7105
DOI
10.1038/s41592-020-0748-5
