Introduction | Dataset | Step 1: Classify Samples into Gleason Grade Groups | Background | Using the Prostate Cancer Preset | Using the Auto Mode | Step 2: Stratify Samples by Clinical Risk Level | Flexible Risk Grouping with Auto Mode | Step 3: Detect Copy Number Aberrations | Step 4: Identify Recurrent Copy Number Variations | Step 5: Annotate CNV Regions with Gene Symbols | Step 6: Build a CNV Expression Matrix | Step 7: Correlate CNV with RNA Expression | Biological Summary | Generalisability | References

Introduction | Dataset | Step 1: Classify Samples into Gleason Grade Groups | Background | Using the Prostate Cancer Preset | Using the Auto Mode | Step 2: Stratify Samples by Clinical Risk Level | Flexible Risk Grouping with Auto Mode | Step 3: Detect Copy Number Aberrations | Step 4: Identify Recurrent Copy Number Variations | Step 5: Annotate CNV Regions with Gene Symbols | Step 6: Build a CNV Expression Matrix | Step 7: Correlate CNV with RNA Expression | Biological Summary | Generalisability | References