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Graphical Summary

Graphical Summary provides you with a quick overview of the major biological themes in your IPA Core Analysis and illustrates how these concepts relate to one another. This feature selects and connects a subset of the most significant entities predicted in the analysis, creating a coherent and comprehensible synopsis of the analysis. The Graphical Summary can include entities such as canonical pathways, upstream regulators, diseases and biological functions. The algorithm constructs the summary using machine learning techniques to prioritize and connect entities and infers relationships to connect entities not yet connected by findings in the QIAGEN Knowledge Graph. These inferred relationships help you visualize related biological activities.

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