利用揭示新的组织微环境的多重图像建模。 - Suppr

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超能文献

Modeling Multiplexed Images with Reveals Novel Tissue Microenvironments.

机构信息

Calico Life Sciences LLC, South San Francisco, California, USA.

Department of Pathology, Stanford University, Stanford, California, USA.

出版信息

J Comput Biol. 2020 Aug;27(8):1204-1218. doi: 10.1089/cmb.2019.0340. Epub 2020 Apr 3.

DOI:10.1089/cmb.2019.0340

PMID:32243203

原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7415889/

Abstract

摘要

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8ad3/7415889/2679604e661a/cmb.2019.0340_figure1.jpg

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Architectural changes in the thymus of aging mice.衰老小鼠胸腺的结构变化。

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