Figure 1
From: EDISA: extracting biclusters from multiple time-series of gene expression profiles
Schematic flowchart depicting the EDISA. Before applying EDISA, the module definition and the dataset have to be specified. Here, we provide three predefined module types. Given this information random samples are drawn from the dataset (preprocessing). EDISA iteratively refines these samples and stores them if they match the module definition. After a specified number of runs EDISA computes the final modules (postprocessing).