Evaluation and comparison of multi-omics data integration methods for cancer subtyping
Fig 7
A robust method should satisfy two criteria: when the number of clusters is fixed, its NMI decreases slowly as the noise level increases; for a fixed level of noise, the NMI has little difference among the different number of clusters. We show the NMI comparisons of (A) BRCA noise datasets and (B) COAD noise datasets. The x-coordinate of figures is the number of clusters on which there are five bars in each cluster number. Each bar represents the average NMI over all 11 combinations at the current noise level datasets on the given number of clusters. The confidence interval around the average NMI is plotted using an error bar. (C) Robustness rank table. The rank items listed under the table include the information of metrics, noise level, and cancer which are connected by underlines.