Non-linear machine learning models incorporating SNPs and PRS improve polygenic prediction in diverse human populations

Research article (Communications Biology, 2022) · cited 106× · AI/ML
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Non-linear machine learning models incorporating SNPs and PRS improve polygenic prediction in diverse human populations

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Non-linear machine learning models incorporating SNPs and PRS improve polygenic prediction in diverse human populations is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Non-linear machine learning models incorporating SNPs and PRS improve polygenic prediction in diverse human populations. Retrieved May 24, 2026, from https://4ort.xyz/entity/non-linear-machine-learning-models-incorporating-snps-and-prs-improve-polygenic-prediction-in-diverse-human-populations
MLA “Non-linear machine learning models incorporating SNPs and PRS improve polygenic prediction in diverse human populations.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/non-linear-machine-learning-models-incorporating-snps-and-prs-improve-polygenic-prediction-in-diverse-human-populations.
BibTeX @misc{4ortxyz_non-linear-machine-learning-models-incorporating-snps-and-prs-improve-polygenic-prediction-in-diverse-human-populations_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Non-linear machine learning models incorporating SNPs and PRS improve polygenic prediction in diverse human populations}}, year = {2026}, url = {https://4ort.xyz/entity/non-linear-machine-learning-models-incorporating-snps-and-prs-improve-polygenic-prediction-in-diverse-human-populations}, note = {Accessed: 2026-05-24}}
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