Skip to main content

Table 3 Untargeted features selected as predictors of case-control status

From: Untargeted lipidomic features associated with colorectal cancer in a prospective cohort

Feature ID Observed m/z a, b Ret. time (sec) Fold change p-value Feature type c
235 391.2832 596.4 0.702 0.000261 R
4250 453.3592 605.5 0.753 0.001082 R
4294 467.3744 605.6 0.741 0.000569 R
5080 519.1965 595.9 1.308 0.000432 C
3207 531.1558 563.9 0.661 0.000468 C
6054 551.1781 563.9 0.404 0.001750 C
839 577.2698 620.6 1.370 0.000359 C
5749 882.6393 718.2 0.880 0.000168 I
14,963 907.4806 617.6 1.373 0.000133 R
  1. m/z mass-to-charge ratio, p-value from the regression model (Eq. 2), C potentially causal feature, R potentially reactive feature, I indeterminate
  2. aObserved m/z values correspond to singly-charged negative ions
  3. bFeature selected by bootstrap LASSO and by being in the top 1% of features ranked by both the p-values from the case-control regression (Eq. 2) and the random forest variable importance measure
  4. cBased on regression of case-control difference on time to diagnosis (ttd, Fig. 2)