Integrating of genomic and transcriptomic profiles for the prognostic assessment of breast cancer

To evaluate the prognostic effect of the integration of genomic and transcriptomic profiles in breast cancer. Eight hundred and ten samples from the Cancer Genome Atlas (TCGA) data sets were randomly divided into the training set (540 subjects) and validation set (270 subjects). We first selected single-nucleotide polymorphism (SNPs) and genes associated with breast cancer prognosis in the training set to construct the prognostic prediction...