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Updated: Jan 9, 2026

Using Cholesky Decomposition to Explore Individual Differences in Longitudinal Relations between Reading Skills
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模拟时空和其他非遗传因素的非线性和相互作用效应可以改善复杂特征的表型预测

Ross DeVito1, Melissa Gymrek1,2,3

  • 1Department of Computer Science and Engineering, University of California, San Diego, CA.

medRxiv : the preprint server for health sciences
|December 8, 2025
PubMed
概括

环境因素如位置和时间的非线性建模显著提高了遗传预测的准确性. 这种方法增强了多基因分数,并揭示了标准线性调整错过的复杂特征相互作用.

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