Rank-Based miRNA Signatures for Early Cancer Detection
Figure 3
Map of patients based on their serum miRNA profiles included in the Bianchi et al. dataset [13]. We applied our method using a signature length of and the top 10% quantile as threshold for distances (). Using a neighbor majority rule, the accuracy of the classification is 84%. Node color legend: green = healthy subjects; red = early stage subjects.
