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PRS-Net: Interpretable polygenic risk scores via geometri... | ResearchHub
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PRS-Net: Interpretable polygenic risk scores via geometric learning
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Authors
Han Li
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Han Li
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Han Li
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Sai Zhang
Published
February 15, 2024
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Topics
Biology
Machine Learning
Computer Science
Mathematics
Artificial Intelligence
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DOI
10.1101/2024.02.13.580211
License
CC-BY-NC
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Supporters
Support the authors with ResearchCoin
Tip RSC
Preprint Server
Topics
Biology
Machine Learning
Computer Science
Mathematics
Artificial Intelligence
Show all topics
DOI
10.1101/2024.02.13.580211
License
CC-BY-NC
Other Formats
PDF
