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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...

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Bibliografiske detaljer
Principais autores: Muhammad Shaban, Yunhao Bai, Huaying Qiu, Shulin Mao, Jason Yeung, Yao Yu Yeo, Vignesh Shanmugam, Han Chen, Bokai Zhu, Jason L. Weirather, Garry P. Nolan, Margaret A. Shipp, Scott J. Rodig, Sizun Jiang, Faisal Mahmood
Format: Artigo
Sprog:Inglês
Udgivet: Nature Portfolio 2024-01-01
Serier:Nature Communications
Online adgang:https://doi.org/10.1038/s41467-023-44188-w
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