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Updated: Jul 3, 2025

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后GWAS: 一个用于解读因果关系的Web服务器后全基因组关联研究的研究

Tao Wang1, Zhihao Yan1, Yiming Zhang2

  • 1School of Computer Science, Northwestern Polytechnical University, Xi'an, 710072, China; Key Laboratory of Big Data Storage and Management, Northwestern Polytechnical University, Ministry of Industry and Information Technology, Xi'an, 710072, China.

Computers in biology and medicine
|February 15, 2024
PubMed
概括

本研究介绍了一个用户友好的Web服务器,集成了9种全基因组后关联研究 (GWAS) 方法. 它帮助研究人员从复杂的GWAS数据中识别因果变异和基因,帮助药物向发现.

关键词:
引起的基因是因果基因.原因变异是原因变异.复杂的特征 复杂的特征在GWAS之后的时间.网络服务器的Web服务器.

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