DSCC: disease subtyping using spectral clustering and community detection from consensus networks.

ABSTRACT: Molecular subtyping is fundamental in cancer research and clinical management of cancer, guiding treatment planning, monitoring therapeutic response, and informing prognosis. Early methods were designed specifically for gene expression data due to the lack of other molecular data types. Thanks to breakthroughs in high-throughput technologies, recent subtyping tools have shifted their focus to integrating multi-omics profiles to uncover novel subtypes that better reflect genetic variation, molecular pathogenesis, tumor heterogeneity, and host response biological mechanisms. However, these integrative approaches have not been able to fully exploit the complementary potentials of diverse molecular data types. They often rely on specific omics types with large common sample size and fail to in

SUBMITTER: Tran D 

PROVIDER: S-EPMC12611214 | biostudies-literature | 2025 Nov

REPOSITORIES: biostudies-literature