Fig 1. Illustration of TSCCA to identify cancer-related miRNA-gene functional modules.

(A) Prepare the matched miRNA and gene expression data of 33 cancer types from TCGA. (B) Compute a cancer-miRNA-gene Pearson correlation tensor $\mathcal{A}\in {\mathbb{R}}^{p\times q\times M}$, where p, q and M represent the number of genes, miRNAs and cancers respectively. (C) Estimate multiple sparse latent factors (u_i, v_i and w_i, i = 1, ⋯, r) and these non-zero genes in u_i, non-zero miRNAs in v_i and non-zero cancers in w_i are considered as a cancer-miRNA-gene module.