Identification of ovarian cancer subtype-specific network modules and candidate drivers through an integrative genomics approach

Identification of cancer subtypes and associated molecular drivers is critically important for understanding tumor heterogeneity and seeking effective clinical treatment. In this study, we introduced a simple but efficient multistep procedure to define ovarian cancer types and identify core networks/pathways and driver genes for each subtype by integrating… CONTINUE READING