tailieunhanh - Integrating multiple molecular sources into a clinical risk prediction signature by extracting complementary information

High-throughput technology allows for genome-wide measurements at different molecular levels for the same patient, . single nucleotide polymorphisms (SNPs) and gene expression. Correspondingly, it might be beneficial to also integrate complementary information from different molecular levels when building multivariable risk prediction models for a clinical endpoint, such as treatment response or survival. |