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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 |
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Nature Publishing Group UK
2022
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| 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 |