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Fig. 6 | BMC Bioinformatics

Fig. 6

From: Cancer immune control dynamics: a clinical data driven model of systemic immunity in patients with metastatic melanoma

Fig. 6

Average Healthy versus Average Cancer flow diagrams. Each flow diagram begins with a Quad dataset that is reduced to Doublets (edges) and Singlets (nodes). The biomarkers shown were chosen because of their high activity across patients. Modulator Singlets are octagon nodes (cytokines, and n.a.) and Source Singlets are circle nodes (cells). The magnitude of edges and nodes are sized according Doublet and Singlet total Occurrence Count values. The Singlet value for each is included at its node. The same scale is used for all flow diagrams. The highest valued cellular Source (10) and cytokine Modulator (15) biomarkers as well as one node, “n.a.” representing the linear, non-modulated Quad relationships are included in each flow diagram. “All counts” include all 133,000 Quad relationships for biomarkers in the dataset summed. Green edges and positive values are the cancer values that are greater (more active) than healthy. Red edges and negative numbers represent Doublets and Singlets that are higher in the Healthy group. a Average Healthy Cohort with all Quad Occurrence Counts, b Average Cancer Cohort with all Quad Occurrence Counts, c Healthy greater than Cancer, The difference between the Quads that are greater in Healthy as compared to Cancer, d Cancer greater than Healthy, The difference between the Quads that are greater in Cancer as compared to Healthy, e Cancer minus Healthy, the overall Quad difference by subtracting the data of healthy volunteers from cancer patients across all counts

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