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Integrative machine learning approaches for predicting disease risk using multi-omics data from the UK Biobank
Medicine and HealthbioRxiv

Integrative machine learning approaches for predicting disease risk using multi-omics data from the UK Biobank

O. Aguilar, C. Chang, et al.

Explore how Oscar Aguilar, Cheng Chang, Elsa Bismuth, and Manuel A Rivas harness machine learning to analyze multi-omics data from the UK Biobank, unveiling enhanced disease risk prediction for 22 conditions. Discover the surprising impact of integrating diverse biological data.... show more
Introduction
Literature Review
Methodology
Key Findings
Discussion
Conclusion
Limitations
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