Figure 1. A schematic diagram of THD-Module Extractor framework.

The proposed method accepts a microarray gene expression dataset, M. After preprocessing, it accepts two thresholds, namely, expression similarity threshold (δ) and minimum neighborhood threshold (ρ) to construct CEN and to extract modules with high expression similarity using similarity measure, SSSim. THD-Module Extractor updates δ by a factor α in each iteration of the module extraction process. The method identifies disease related genes by analyzing the border gene set extracted from the highly co-expressed modules and validates them using GO, KEGG Enrichment, pathway analysis, and existing literature.