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Updated: Feb 7, 2026

Performing Data Mining And Integrative Analysis Of Biomarker in Breast Cancer Using Multiple Publicly Accessible Databases
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MULGONET:一种可解释的神经网络框架,用于整合多omics数据,用于癌症复发预测和生物标志物发现

Wei Lan1, Zhentao Tang1, Haibo Liao1

  • 1Guangxi Key Laboratory of Multimedia Communications and Network Technology, School of Computer, Electronic and Information, Guangxi University, Guangxi 530004, China.

Fundamental research
|February 6, 2026
PubMed
概括

本研究介绍了MULGONET,这是一种用于整合多omics癌症数据的深度学习方法,以预测复发并发现生物标志物. MULGONET提高了解释性,并揭示了基因-GO术语相互作用,以获得更好的癌症洞察力.

关键词:
发现生物标志物的发现.癌症复发 癌症复发深度学习是一种深度学习.可以解释性 解释性多个omics数据数据的数据.

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