MAPS: pathologist-level cell type annotation from tissue images through machine learning
Abstract Highly multiplexed protein imaging is emerging as a potent technique for analyzing protein distribution within cells and tissues in their native context. However, existing cell annotation methods utilizing high-plex spatial proteomics data are resource intensive and necessitate iterative ex...
Tallennettuna:
| Päätekijät: | , , , , , , , , , , , , , , |
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| Aineistotyyppi: | Artigo |
| Kieli: | Inglês |
| Julkaistu: |
Nature Portfolio
2024-01-01
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| Sarja: | Nature Communications |
| Linkit: | https://doi.org/10.1038/s41467-023-44188-w |
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