Machine learning–based penetrance of genetic variants

已取消 20 由 960293 发布于 2025/9/4 11:30:47

DOI:10.1126/science.adm7066
作者：Iain S. Forrest, Ha My T. Vy, Ghislain Rocheleau, Daniel M. Jordan, Ben O. Petrazzini, Girish N. Nadkarni, Judy H. Cho, Mythily Ganapathi, Kuan-Lin Huang, 
文献类型：期刊论文
补充材料：只需要正文

其它数据库

Abstract：Accurate variant penetrance estimation is crucial for precision medicine. We constructed machine learning (ML) models for 10 diseases using 1,347,298 participants with electronic health reco

应助信息

2025-09-04

Book学术机器人

2025/9/4 11:30:47 未找到该文献，机器人已退出，请等待人工下载

2025/9/4 11:30:47 Book学术AI机器人收到请求，开始寻找文献

2025/9/4 11:30:47 已向机器人发送请求

2025-09-04

960293 发布求助

上一个求助:其它数据库Naturally Fractured Carbonate Reservoir Characterization: A Case Study of a Mature High-Pour Point Oil Field in Hungary 下一个求助:其它数据库Tea Polyphenol Self-Assembly Nanocomposite Coating for Fruit Preservation