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基于逐步深度学习的SNP组合对精神分裂症病因学影响的解释,使用多精度数据

Yousang Jo1, Maree J Webster2, Sanghyeon Kim2

  • 1Department of Bio and Brain Engineering, KAIST, Daejeon, South Korea.

Briefings in functional genomics
|September 22, 2023
PubMed
概括

本研究引入了一种深度学习方法 (SLEM),通过分析分子相互作用,揭示单核酸多态 (SNP) 的组合如何影响精神分裂症风险. 研究结果显示,SNP组合比单个SNP更准确地进行预测.

关键词:
在GWAS中,GWAS就是GWAS.一个SNP组合.可以解释的机器学习.精神分裂症是一种精神分裂症.

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