Ontology highlight
ABSTRACT:
SUBMITTER: Li W
PROVIDER: S-EPMC5434807 | biostudies-other | 2017 May
REPOSITORIES: biostudies-other
Oncology letters 20170327 5
Breast cancer is one of the leading causes of mortality in females. A number of prognostic markers have been identified, including single genes, multi-gene signatures and network modules; however, the robustness of these prognostic markers is insufficient. Thus, the present study proposed a more robust method to identify breast cancer prognostic modules based on weighted protein-protein interaction networks, by integrating four sets of disease-associated expression profiles. Three identified pro ...[more]