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Table 1 The weights of the features in L-score reported by logistic regression using the ST training envelope matches

From: A new scoring function for top-down spectral deconvolution

Feature #peak pairs =2 #peak pairs =3 #peak pairs =4 #peak pairs ≥5
Weight P-value Weight P-value Weight P-value Weight P-value
M/z distance 3.237 3.5E-4 4.987 2.0E-16 3.942 2.0E-16 3.820 2.0E-16
Intensity distribution 0.851 0.028 1.565 2.8E-8 1.448 6.2E-8 1.349 2.0E-10
#supporting envelopes -1.517 1.6E-5 -1.471 8.7E-9 -1.958 2.0E-16 -0.992 2.0E-16
#neutral loss envelopes -2.491 5.5E-13 -0.810 2.38E-7 -0.795 2.8E-13 -0.343 1.1E-11
#missing peaks - - 0.277 0.198 0.386 9.1E-3 0.096 0.314
  1. When the number of peak pairs is 2, the weight for the number of missing peaks (feature m(E)) is not used because this group does not contain any experimental envelopes with missing peaks.