Clinic-Genomic Association Mining for Colorectal Cancer Using Publicly Available Datasets

Figure 2

Statistical-analysis-based association mining flow. Four steps were involved. First, for each concept, GSM data were divided into two groups and further organized into different data subsets based on GSE and GPL. Second, for each data subset, differentially expressed genes were screened out according to statistical significance and biological significance. Third, for each concept, differentially expressed genes from every data subset were integrated. Finally, a series of associations were established between each concept with the corresponding differentially expressed genes.