Human genotype-to-phenotype predictions: boosting accuracy with nonlinear models
Александр Владимирович Медведев, Satyarth Mishra Sharma, Evgenii Tsatsorin, Elena Nabieva, Dmitry Yarotsky
This paper compares nonlinear and linear models for genotype-to-phenotype prediction, showing nonlinear models can be more accurate with rich covariates and ensembling improves accuracy for asthma and hypothyroidism.
PLoS ONE · Aug 31, 2022Peer-reviewedGenetic & Genomic Medicine