Fig 8. Comparison of results from different algorithms on the simulated data and TCGA data.

(A) A synthetic miRNA-gene correlation tensor $\mathcal{A}$, which contains four matrices with the same number of genes (rows) and miRNAs (columns), and includes three true modules framed by rectangular boxes of different colors. The shuffled $\mathcal{A}$ is as the input of tested methods by shuffling the genes (rows) and miRNAs (columns) of $\mathcal{A}$. (B) Comparison of different methods in terms of CE ± std and Recovery ± std on the simulated data. The Recovery and CE scores are computed based on $\mathcal{A}\text{s}$ generated repeatedly.