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A deep learning method to map tissue architecture
A new study in Nature Methods describes a computational method named UTAG (unsupervised discovery of tissue architecture with graphs) that aims to identify and quantify higher-level tissue domains from biological images without previous knowledge.
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9735151/ https://www.ncbi.nlm.nih.gov/pubmed/36473953 http://dx.doi.org/10.1038/s41576-022-00564-8 |
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author | Koch, Linda |
author_facet | Koch, Linda |
author_sort | Koch, Linda |
collection | PubMed |
description | A new study in Nature Methods describes a computational method named UTAG (unsupervised discovery of tissue architecture with graphs) that aims to identify and quantify higher-level tissue domains from biological images without previous knowledge. |
format | Online Article Text |
id | pubmed-9735151 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-97351512022-12-12 A deep learning method to map tissue architecture Koch, Linda Nat Rev Genet Research Highlight A new study in Nature Methods describes a computational method named UTAG (unsupervised discovery of tissue architecture with graphs) that aims to identify and quantify higher-level tissue domains from biological images without previous knowledge. Nature Publishing Group UK 2022-12-06 2023 /pmc/articles/PMC9735151/ /pubmed/36473953 http://dx.doi.org/10.1038/s41576-022-00564-8 Text en © Springer Nature Limited 2022 This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic. |
spellingShingle | Research Highlight Koch, Linda A deep learning method to map tissue architecture |
title | A deep learning method to map tissue architecture |
title_full | A deep learning method to map tissue architecture |
title_fullStr | A deep learning method to map tissue architecture |
title_full_unstemmed | A deep learning method to map tissue architecture |
title_short | A deep learning method to map tissue architecture |
title_sort | deep learning method to map tissue architecture |
topic | Research Highlight |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9735151/ https://www.ncbi.nlm.nih.gov/pubmed/36473953 http://dx.doi.org/10.1038/s41576-022-00564-8 |
work_keys_str_mv | AT kochlinda adeeplearningmethodtomaptissuearchitecture AT kochlinda deeplearningmethodtomaptissuearchitecture |