Regularized Machine Learning in the Genetic Prediction of Complex Traits

@inproceedings{Okser2014RegularizedML,
  title={Regularized Machine Learning in the Genetic Prediction of Complex Traits},
  author={Sebastian Okser and Tapio Pahikkala and Antti Airola and Tapio Salakoski and Samuli Ripatti and Tero Aittokallio},
  booktitle={PLoS genetics},
  year={2014}
}
Compared to univariate analysis of genome-wide association (GWA) studies, machine learning–based models have been shown to provide improved means of learning such multilocus panels of genetic variants and their interactions that are most predictive of complex phenotypic traits. Many applications of predictive modeling rely on effective variable selection, often implemented through model regularization, which penalizes the model complexity and enables predictions in individuals outside of the… CONTINUE READING
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