Improving genetic risk prediction across diverse population by disentangling ancestry representations

Research article (Communications Biology, 2023) · cited 18× · AI/ML
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Improving genetic risk prediction across diverse population by disentangling ancestry representations

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Improving genetic risk prediction across diverse population by disentangling ancestry representations is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Improving genetic risk prediction across diverse population by disentangling ancestry representations. Retrieved May 24, 2026, from https://4ort.xyz/entity/improving-genetic-risk-prediction-across-diverse-population-by-disentangling-ancestry-representations
MLA “Improving genetic risk prediction across diverse population by disentangling ancestry representations.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/improving-genetic-risk-prediction-across-diverse-population-by-disentangling-ancestry-representations.
BibTeX @misc{4ortxyz_improving-genetic-risk-prediction-across-diverse-population-by-disentangling-ancestry-representations_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Improving genetic risk prediction across diverse population by disentangling ancestry representations}}, year = {2026}, url = {https://4ort.xyz/entity/improving-genetic-risk-prediction-across-diverse-population-by-disentangling-ancestry-representations}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Improving genetic risk prediction across diverse population by disentangling ancestry representations — https://4ort.xyz/entity/improving-genetic-risk-prediction-across-diverse-population-by-disentangling-ancestry-representations (retrieved 2026-05-24)

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