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Transformer for one stop interpretable cell type annotation

Transformer for one stop interpretable cell type annotation

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_220f1a6409904b0496a5b2bf54374201

Transformer for one stop interpretable cell type annotation

About this item

Full title

Transformer for one stop interpretable cell type annotation

Publisher

London: Nature Publishing Group UK

Journal title

Nature communications, 2023-01, Vol.14 (1), p.223-223, Article 223

Language

English

Formats

Publication information

Publisher

London: Nature Publishing Group UK

More information

Scope and Contents

Contents

Consistent annotation transfer from reference dataset to query dataset is fundamental to the development and reproducibility of single-cell research. Compared with traditional annotation methods, deep learning based methods are faster and more automated. A series of useful single cell analysis tools based on autoencoder architecture have been devel...

Alternative Titles

Full title

Transformer for one stop interpretable cell type annotation

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_220f1a6409904b0496a5b2bf54374201

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_220f1a6409904b0496a5b2bf54374201

Other Identifiers

ISSN

2041-1723

E-ISSN

2041-1723

DOI

10.1038/s41467-023-35923-4

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