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Locally adaptive conformal prediction intervals for polygenic score-based phenotype prediction via residual normalization and data-driven stratification

2026-05-30

Abstract excerpt

Quantifying uncertainty in polygenic score (PGS)-based phenotype prediction is crucial for the integration of genomic data into precision medicine. While the PGS provides a fundamental pivot for point estimation, clinical decision-making necessitates the construction of well-calibrated prediction intervals that reliably encompass the true phenotypic values. However, phenotypic residuals are frequently characterize...

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Literature Corpus work
a853a4b2-e760-5b4d-8eae-96d38883c584
DOI
10.64898/2026.05.28.26354326
Open publication

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Locally adaptive conformal prediction intervals for polygenic score-based phenotype prediction via residual normalization and data-driven stratificationDOI 10.64898/2026.05.28.26354326
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