Network-based approaches are widely used for analyzing large-scale genomic data and searching for disease driver genes. Diffusion-based approaches are one of the most popular approaches for detecting disease candidate genes by combining biological information with topological network information. A particular diffusion-based algorithm used in The Cancer Genome Atlas data analysis called HotNet2 has been able to detect significant subnetworks of genes related to various cancer types. The purpose of this capstone project is to port HotNet2 from Python to Java. This will allow future integration into Java-based standalone projects that can provide users a more interactive user interface for the whole HotNet2 workflow.