Fig. 9
From: Data integration by fuzzy similarity-based hierarchical clustering
Summarized performance of the algorithms across ten cancer datasets. For each plot, the x-axis measures the total differential prognosis between clusters (sum across all datasets of –log10 of logrank’s test P-value), and the y-axis is the total number of clinical parameters enriched in the clusters across all cancer types. (a–c) Results for single-omic datasets. d Results when each method uses the single omic that achieves the highest significance in survival. e Same with respect to enrichment of clinical labels