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Updated: Feb 11, 2026

Constructing and Visualizing Models using Mime-based Machine-learning Framework
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Constructing and Visualizing Models using Mime-based Machine-learning Framework

Published on: July 22, 2025

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一个微环境决定的风险连续性细化了脑膜瘤的亚型,并揭示了基于机器学习的瘤分类的决定因素

Sybren L N Maas1,2, Yiheng Tang3,4,5, Eric Stutheit-Zhao6,7

  • 1Department of Pathology, Leiden University Medical Center, Leiden, The Netherlands. S.L.N.Maas@lumc.nl.

Nature genetics
|February 9, 2026
PubMed
概括

神经瘤学中的瘤分类正在随机器学习而发展. 这项研究揭示了瘤微环境显著影响脑膜瘤分类和结果,表明风险连续而不是不同的子组.

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