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Fig. 3 | BMC Bioinformatics

Fig. 3

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

Fig. 3

CICD’s flow chart for data processing and interpretation. a SVD generated 5-dimensional relationship. SVD calculations adds two additional dimensions to the Knowledge Model relationships, an LSV associated biomarker and a time point, b Occurrence Count. A Knowledge Model relationship is active for a LSV associated biomarker at a single time point if its value is above the determined LSV threshold. This is counted as one Occurrence Count. c Σ Summation series of CICD result data. Σ Summations across like components generates multiple test period resultant views of the CICD data. The initial CICD summation involves the time instant dimension. The active 5-D relationships are summed across time to produce a unique Quad relationship containing its Modulator, Source, Target and LSV component. Next, the clear patterns of Quad activity enable the ability to sum the number of active occurrences with the same biomarker components to produce what is referred to herein as Triplets, Doublets, and Singlets. The LSV components are combined to create the 3-dimensional Triplet view. The next summations can be performed across any of the remaining components, Target, Source or Modulator to create three, 2-dimensional Doublet views, Modulator-Source (shown), Source-Target, Target-Modulator. Singlet views is the sum of all Occurrence Counts for a biomarker acting as a Modulator (shown), Source, Target, or LSV component. d CICD’s Fundamental data structure, Quad relationship. The SVD generated LSV quantifies the number of active occurrences for each Knowledge Model relationship over the course of the study and is the basis for analysis presented

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