Using the clustering method above, data was seperated into these two potential classes of infected vs not-infected. This data was then used to train the ensemble classifier and ultimately to produce feature importance and differential expression. Note: There should be seperation showing two distinct classes on the top and bottom. If there isn't, then clustering didn't work well and subsequent feature analysis should be ignored.