FIGURE 2.
Illustration of feature selection process. (A) The original dataset may contain an excessive number of features and a lot of irrelevant SNPs. (B) Feature selection reduces the dimensionality of the dataset by excluding irrelevant features and including only those features that are relevant for prediction. The reduced dataset contains relevant SNPs (rSNPs) which can be used to train the learning algorithm. No: original number of features, Nr: number of remaining relevant SNPs.