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Updated: May 1, 2026

A Human Glioblastoma Organotypic Slice Culture Model for Study of Tumor Cell Migration and Patient-specific Effects of Anti-Invasive Drugs
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A Human Glioblastoma Organotypic Slice Culture Model for Study of Tumor Cell Migration and Patient-specific Effects of Anti-Invasive Drugs

Published on: July 20, 2017

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可解释的机器学习模型用于质瘤亚型分类和生存预测

Olga Vershinina1,2, Victoria Turubanova1,2,3, Mikhail Krivonosov1,2

  • 1Research Center in Artificial Intelligence, Institute of Information Technologies, Mathematics and Mechanics, Lobachevsky State University, Nizhny Novgorod 603022, Russia.

Cancers
|August 28, 2025
PubMed
概括

可解释的机器学习模型准确地分类质瘤亚型,并使用RNA-seq数据预测患者的存活率. 发现的关键基因为改善临床决策提供了关于瘤生物学和预后的见解.

关键词:
可以解释的人工智能基因表达数据质瘤机器学习总体生存预测分类类型

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Linearity is a system property characterized by a direct input-output relationship, combining homogeneity and additivity.
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