Accurate Prediction of Cancer Prognosis by Exploiting Patient-Specific Cancer Driver Genes

ABSTRACT: Accurate prediction of the prognoses of cancer patients and identification of prognostic biomarkers are both important for the improved treatment of cancer patients, in addition to enhanced anticancer drugs. Many previous bioinformatic studies have been carried out to achieve this goal; however, there remains room for improvement in terms of accuracy. In this study, we demonstrated that patient-specific cancer driver genes could be used to predict cancer prognoses more accurately. To identify patient-specific cancer driver genes, we first generated patient-specific gene networks before using modified PageRank to generate feature vectors that represented the impacts genes had on the patient-specific gene network. Subsequently, the feature vectors of the good and poor prognosis groups were u

SUBMITTER: Lee S 

PROVIDER: S-EPMC10095073 | biostudies-literature | 2023 Mar

REPOSITORIES: biostudies-literature