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Updated: Jun 29, 2025

Machine Learning Algorithms for Early Detection of Bone Metastases in an Experimental Rat Model
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IBPGNET:基于神经网络可解释性的肺腺癌复发预测

Zhanyu Xu1, Haibo Liao2, Liuliu Huang1

  • 1Department of Thoracic and Cardiovascular Surgery, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi Zhuang Autonomous Region 530021, China.

Briefings in bioinformatics
|April 1, 2024
PubMed
概括

一个新的计算框架,即可解释的生物路径图神经网络 (IBPGNET),可以预测肺腺癌 (LUAD) 的复发. 该方法确定PSMC1和PSMD11作为影响复发和治疗敏感性的关键基因.

关键词:
在PSMC1和PSMD11中,PSMC1和PSMD11分别为PSMC1和PSMD11.肺部腺癌的癌症.多主题数据数据多主题数据神经网络的解释性 神经网络的解释性复发预测的复发预测

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