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Updated: Jan 18, 2026

Large-Scale Multi-Omics Genome-Wide Association Studies Mo-GWAS: Guidelines for Sample Preparation and Normalization
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Large-Scale Multi-Omics Genome-Wide Association Studies Mo-GWAS: Guidelines for Sample Preparation and Normalization

Published on: July 27, 2021

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稀有多任务组拉索用于全基因组关联研究

Asma Nouira1,2,3,4, Chloé-Agathe Azencott1,2,3

  • 1Mines ParisTech, PSL Research University, CBIO-Centre for Computational Biology, Paris, France.

PLoS computational biology
|September 12, 2025
PubMed
概括

简单的多任务组拉索 (SMuGLasso) 在全基因组协会研究 (GWAS) 中有效地解决了人口分层问题. 这种新的方法改善了特定于种群的遗传变异的识别,比现有技术提供了更高的性能.

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