Figure 2
From: A bi-ordering approach to linking gene expression with clinical annotations in gastric cancer
Saturation metrics for gastric cancer dataset. Gastric cancer benchmark results for five biclustering algorithms. We plot the number of unique biclusters (solid lines) and super-biclusters (broken lines) with the p-value below the threshold indicated by the x-axis. Each algorithm is represented with a unique color as shown in the legend. The results for the super-biclusters are represented with the same color as the biclusters for BOA, ISA and Gibbs (broken lines). Note that Gibbs produces exactly the same lines for biclusters and super-biclusters due to their algorithm. We have used the SCS (left sub- figure) and MCS (right sub- figure) metrics to calculate the p-values. We have applied 1000 random initializations for BOA and ISA and the parameter settings follow the suggestions in these studies.