Immune signaling-based Cascade Propagation approach re-stratifies HNSCC patients.

ABSTRACT: The availability of high-throughput genomic assays and rich electronic medical records allows us to identify cancer subtypes with greater accuracy and resolution. The integration of multiplatform, heterogenous, and high dimensional data remains an enormous challenge in using big data in bioinformatics research. Previous methods have been developed for patient stratification, however, these approaches did not incorporate prior knowledge and offer limited biology insight. New computational methods are needed to better utilize multiple types of information to identify clinically meaningful subtypes. Recent studies have shown that many immune functional genes are associated with cancer progression, recurrence and prognosis in head and neck squamous cell carcinoma (HNSCC). Therefore, we develop

SUBMITTER: Liu K 

PROVIDER: S-EPMC6029246 | biostudies-literature | 2016 Dec

REPOSITORIES: biostudies-literature