Leveraging the Cell Ontology to classify unseen cell types
Leveraging the Cell Ontology to classify unseen cell types
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Publisher
London: Nature Publishing Group UK
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Language
English
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Publisher
London: Nature Publishing Group UK
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Contents
Single cell technologies are rapidly generating large amounts of data that enables us to understand biological systems at single-cell resolution. However, joint analysis of datasets generated by independent labs remains challenging due to a lack of consistent terminology to describe cell types. Here, we present OnClass, an algorithm and accompanyin...
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Full title
Leveraging the Cell Ontology to classify unseen cell types
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TN_cdi_doaj_primary_oai_doaj_org_article_1d09fe5933a6428fb050655243e85aa0
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_1d09fe5933a6428fb050655243e85aa0
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ISSN
2041-1723
E-ISSN
2041-1723
DOI
10.1038/s41467-021-25725-x
