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IGCNSDA:用可解释图形卷积网络解开与疾病相关的snoRNAs

Xiaowen Hu1, Pan Zhang2, Dayun Liu1

  • 1School of Computer Science and Engineering, Central South University, 410075, Changsha, China.

Briefings in bioinformatics
|April 22, 2024
PubMed
概括

这项研究介绍了IGCNSDA,一个可解释的图形卷积网络,用于预测短核核RNA (snoRNA) -疾病关联. 该方法通过揭示潜在机制来增强疾病的检测和治疗.

关键词:
图表 卷积网络 卷积网络解释性分析 解释性分析snoRNA疾病关联.这是一个子图的子图.

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