Multi-omics data integration for precision medicine in cervical cancer a comprehensive computational approach
Cervical cancer remains a major and widespread global health problem and continues to be a global health problem despite significant progress. One of the biggest challenges facing the healthcare system is advances in diagnosis and treatment. In this study, we combined multiple types of biological data, specifically genomic, transcriptomic and proteomic data, to find usable cancer targets and treatments that are not only prevalent but also have the potential to impact cancer progression.