Table 1.

Lasso-identified important mass-spectral features, which can predict the pathology of each 200-µm-diameter pixel with high accuracy

m/z	Lasso weight	m/z	Lasso weight
115.0	−0.143	311.7	−0.005
150.9	−0.027	325.3	−0.009
151.3	−0.001	325.8	−0.026
253.3	+0.002	465.5	−0.005
255.5	+0.004	466.4	−0.004
279.3	+0.015	556.9	+0.002
281.3	+0.008	747.7	+0.042
282.0	+0.002	786.6	+0.001
283.5	+0.004	788.4	+0.018
303.3	+0.139	794.5	−0.040
304.1	+0.016	885.6	−0.007
311.3	−0.007	886.6	−0.003

List of 24 mass-spectral features required for prediction of pathology. Note that the analysis was performed on integrated low-resolution MS data, and therefore the m/z of some selected features deviate slightly from the actual masses of the peaks.