Fig. 2: Feature importance across pancreatic ductal adenocarcinoma base-learner signatures.
From: Serum biomarker-based early detection of pancreatic ductal adenocarcinomas with ensemble learning
a Odds-ratios (represented proportionally by the size of the circles) and P-values for the ranking procedure according to a logistic regression model using Firth’s bias reduction method in the training set. b Feature importance across all base learners and joined time-groups. All the features (biomarkers and clinical covariates) presented in this figure were selected when training/optimizing the ensemble approach with 0-4+ samples. The importance plotted for the remaining joined time-groups is the importance of each feature in their respective models. See also Supplementary Fig. 33 for the full plots and additionally Supplementary Fig. 34 for models developed with single time-groups. In a and b shades of blue from dark to light correspond to results obtained in 0-1, 0-2, 0-3, 0-4 and 0-4+ years to diagnosis samples, respectively. See ‘Statistical analysis’ in Methods for further details and Supplementary Data 4, 5. OCP oral contraceptive pill use. HRT hormone replacement therapy.
