Figure 6

The procedure of using independent data sets in hypothesis testing. The whole data set D is partitioned into three subsets: D⁽¹⁾, D⁽²⁾ and D⁽³⁾. A screening method is applied to D⁽¹⁾. After screening, only a subset of features survives, denoted as A₁. Then modeling methods are applied to D⁽²⁾, but only involving the features in A ₁ . This modeling process may further select a subset of features from A₁, denoted as A₂. Thus, A₂ ⊂ A₁. For feature assessment, hypothesis testing is applied to the features in A₂ using the data set D⁽³⁾. The correction factor for multiple testing is calculated based on the size of A₂. After feature assessment, the significant features are collected in A₃ and A₃ ⊂ A₂. They are finally used for genetic mapping.