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Updated: Jun 3, 2025

Large-Scale Multi-Omics Genome-Wide Association Studies Mo-GWAS: Guidelines for Sample Preparation and Normalization
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从总结数据中改进多基因预测,通过学习跨多个表型的效应共享模式来改进多基因预测

Deborah Kunkel1, Peter Sørensen2, Vijay Shankar3

  • 1School of Mathematical and Statistical Sciences, Clemson University, Clemson, South Carolina, United States of America.

PLoS genetics
|January 8, 2025
PubMed
概括

mr.mash-rss只使用来自全基因组关联研究 (GWAS) 的总结统计数据来实现准确的多基因预测. 这种方法提高了多现象型预测模型的适用性和可扩展性,特别是对于缺乏个体级遗传数据的数据集.

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