TSCCA: A tensor sparse CCA method for detecting microRNA-gene patterns from multiple cancers
Fig 4
Heatmap showing W, which is the output matrix of Algorithm 2 (See S1 Text), when it was applied to the TCGA data.
Each column corresponds to a module and each row corresponds to a cancer type and |Wij| reflects the co-expressed intensity of between the genes and the miRNAs within the module j on the cancer i. A hierarchical clustering method was used to cluster the rows (cancer types) into four clusters.