Figure 9
A walkthrough of an end-to-end analysis using the patient details panel and patient-to-group panel for overview and details analysis to unleash the knowledge embedded deep in the data for our POI and POCs. (a) First, the analyst can investigate the gene-of-interest, “CDK6”, expression value for the POI to see if it falls in the IQR range or an outliner. The analyst then can use the POCs suggested by the Decision Support System to investigate why these POCs cohort mostly survived the illness. (b) The analyst can then inspect the gene expression value for the POI compared to the POCs and conduct a hierarchical clustering analysis on the heatmap. Since the grouping was based on “KIAA0125”, “SOC2” and “AKR1C3” gene combination, the analyst can visually compare the differential expression for these three genes for POI and POCs. Since the similarity was done on these three genes, it made sense that those values shown in (b) were close to each other. (c) The medical history for all the patients. In this scenario, the analyst would find the POI and patient "aml_ohsu_2018_15-00371" were dead; and compare the regimen used for these patients. The visual comparison reveals that the regimen used for our POI is not the same as any of the rest of the POCs.
