StellarPath: Hierarchical-vertical multi-omics classifier synergizes stable markers and interpretable similarity networks for patient profiling
Fig 3
(A) Scatter plot comparing the separability of the patient’s classes in the PSNs selected by StellarPath and netDx for classifying the datasets. The separability of the classes is assessed with StellarPath’s Power ranking system. Each dot’s size indicates the number of PSNs with the corresponding Power value on the Y-axis. The dot’s color signifies which method has a greater number of PSNs with a specific Power. (B) Bar plot comparing the Jaccard index about the quality of the unsupervised patient clusters identified in the PSNs compared to the real patient’s classes of each dataset. The Y-axis refers to the Jaccard index. A taller bar indicates a closer overlap between the unsupervised patient clusters and the actual patient classes.