Article

Predicting the status of human complex diseases with random forest and polygenic risk scores

2022-05-20

Abstract excerpt

In recent years, polygenic risk score (PRS) analysis has become one of the most practical ways to leverage genome wide association studies (GWAS) findings for disease prediction. This approach is useful for addressing the challenge to translate the vast knowledge of complex disease genetics into clinically usable information. As machine learning is being widely applied to life science and PRS analysis comes into w...

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Literature Corpus work: adddcf99-0239-5d21-9b94-c0e77b243d5a
DOI: 10.21203/rs.3.rs-1631486/v1

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