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Updated: Jan 6, 2026

An R-Based Landscape Validation of a Competing Risk Model
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Published on: September 16, 2022

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PTL-PRS:一个R包用于转移学习的多基因风险得分与伪验证

Bokeum Cho1, Seunggeun Lee1

  • 1Graduate School of Data Science, Seoul National University, Seoul 08826, South Korea.

Bioinformatics (Oxford, England)
|September 24, 2025
PubMed
概括

对多基因风险评分的伪验证转移学习 (PTL-PRS) 在没有个人级数据的不同人群中提高了多基因风险评分的准确性. 这种方法提高了可用性和计算效率,同时保持了预测性能.

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