Figure 5.

The Lasso method yields a model with parsimonious sets of features for discriminating between normal kidney, RO, and RCC tissues. A) The mathematical weights for each statistically informative feature selected by the lasso model are shown in red for RCC, blue for RO, and green for normal class, depending on the importance of the abundance of that peak in characterizing a certain class. Note that features that do not contribute to characterizing any of the class receive a weight of zero and are disregarded. B) Lasso per-pixel and per-patient prediction results are provided for normal kidney, RO, and RCC.