Generalizability of polygenic prediction models: how is the R2 defined on test data? Article Swipe

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Christian Staerk , Hannah Klinkhammer , Tobias Wistuba , Carlo Maj , Andreas Mayr ·

YOU? · · 2024 · Open Access · · DOI: https://doi.org/10.1186/s12920-024-01905-8

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Generalizability theory Human genetics Computational biology Test (biology) Biology Computer science Bioinformatics Genetics Statistics Mathematics Gene Paleontology

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Type: article
Language: en
Landing Page: https://doi.org/10.1186/s12920-024-01905-8
PDF: https://bmcmedgenomics.biomedcentral.com/counter/pdf/10.1186/s12920-024-01905-8
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Cited By: 4
References: 40
Related Works: 10
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DOI: https://doi.org/10.1186/s12920-024-01905-8

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Title: Generalizability of polygenic prediction models: how is the R2 defined on test data?

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Language: en

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Publication year: 2024

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Publication date: 2024-05-16

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Authors: Christian Staerk, Hannah Klinkhammer, Tobias Wistuba, Carlo Maj, Andreas Mayr

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Landing page: https://doi.org/10.1186/s12920-024-01905-8

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Concepts: Generalizability theory, Human genetics, Computational biology, Test (biology), Biology, Computer science, Bioinformatics, Genetics, Statistics, Mathematics, Gene, Paleontology

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Cited by: 4

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