Identification of potential biomarkers for bone metastasis using human cancer metastasis database.

Objective: Information theory has been successfully employed to identify optimal pathway networks, mutual information (MI), and entropy as a dynamic response in statistical methods and estimate input and output information in systems biology. This research aims to investigate potentially integrated gene signatures for bone metastasis using graph-based information theory from the dynamic interaction interphase.

Methods: The expression dataset with the series ID GSE26964 for bone metastasis from prostate cancer was retrieved.