Article
HAPNEST: efficient, large-scale generation and evaluation of synthetic datasets for genotypes and phenotypes.
Bioinformatics (Oxford, England) - 2 Sept 2023
Wharrie Sophie, Yang Zhiyu, Raj Vishnu, Monti Remo, Gupta Rahul, Wang Ying, Martin Alicia, O'Connor Luke J, Kaski Samuel, Marttinen Pekka, Palamara Pier Francesco, Lippert Christoph, Ganna Andrea
Abstract excerpt
MOTIVATION: Existing methods for simulating synthetic genotype and phenotype datasets have limited scalability, constraining their usability for large-scale analyses. Moreover, a systematic approach for evaluating synthetic data quality and a benchmark synthetic dataset for developing and evaluating methods for polygenic risk scores are lacking. RESULTS: We present HAPNEST, a novel approach for efficiently...
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