Integration of Clinical and Gene Expression Data Has a Synergetic Effect on Predicting Breast Cancer Outcome
Figure 2
Error rate of the different classifiers and integration strategies.
A) Bar plot indicating the average DLCV eFPFN errors obtained using the different classifiers, integration strategies, and types of input data. B) Kaplan-Meier curves of the NMC classifier without integration, and the one using the Late OR integration strategy. We’ve indicated the p-value from the logrank test, and the fraction at five years.