AI RESEARCH
EFGPP: Exploratory framework for genotype-phenotype prediction
arXiv CS.LG
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ArXi:2605.02954v1 Announce Type: cross Predicting complex human traits from genetic data is challenging because different genetic, clinical, and molecular data sources often contain different parts of the signal. Here, we present EFGPP, a reproducible framework for generating, ranking, and combining multiple types of data for genotype-to-phenotype prediction. We applied EFGPP to migraine prediction using UK Biobank data from 733 individuals.