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Updated: Jul 11, 2025

Mapping Alzheimer's Disease Variants to Their Target Genes Using Computational Analysis of Chromatin Configuration
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可解释变异自编码器 (E-VAE) 模型使用全基因组SNP来预测痴呆症

Sithara Vivek1, Jessica Faul2, Bharat Thyagarajan1

  • 1Department of Laboratory Medicine and Pathology, University of Minnesota, Minneapolis, MN, United States.

Journal of biomedical informatics
|November 5, 2023
PubMed
概括

使用遗传数据的深度学习模型可以预测与阿尔茨海默病相关的痴呆症 (ADRD). 这种利用可解释变异自编码器 (E-VAE) 的方法,对理解ADRD生物学和改善疾病分类有希望.

关键词:
深度学习是一种深度学习.痴呆症是一种痴呆症.在GWAS的SNP中,GWAS的SNP是:可以概括的一般化.预测模型的预测模型.

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