Elastic net type regression methods have become very popular for prediction of certain outcomes in epigenome-wide association studies (EWAS). The methods considered accept biased coefficient estimates in return for lower variance thus obtaining improved prediction accuracy. We provide guidelines on how to obtain parsimonious models with low mean squared error and include easy to follow walk-through examples for each step in R.

中文翻译：

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glmnet的统计预测。

在表观基因组范围的关联研究（EWAS）中，弹性网型回归方法已非常流行用于预测某些结果。所考虑的方法接受偏差系数估计以换取较低的方差，从而获得改进的预测精度。我们提供了有关如何获得均方误差低的简约模型的指南，并为R中的每个步骤提供了易于遵循的演练示例。