Fig. 3
From: Integrating heterogeneous genomic data to accurately identify disease subtypes
Heatmaps of patient similarity on realistic simulation datasets. Compared to simplistic simulations, realistic simulations added many noisy features and unclassified patients and the class sizes were also equal. Patient similarity was measured by Pearson correlation coefficients. A, results on SD1 (issue of scales); B, results on SD2 (issue of noise types); C, results on SD3 (issue of noise sizes); D, results on SD4 (issue of incomplete patient relationships); E, results on SD5 (issue of conflict patient relationships). iBFE1: integration by using both Pearson and Spearman correlation coefficients; iBFE2: integration by using only Pearson correlation coefficients; iBFE3: integration by using only Spearman correlation coefficients