Figure 2.

The schematic illustration of LPFS. Under the nearest centroid framework, LPFS requires to minimize the classification error and the number of selected features, which leads to a multi-objective programming. To ensure the computational efficiency, a linear programming is solved to identify biomarkers.

Wang et al. BMC Systems Biology 2012 6(Suppl 1):S15   doi:10.1186/1752-0509-6-S1-S15