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Figure S5: Summary Overview of Causal Reasoning Methodology

Figure S5: Summary Overview of Causal Reasoning Methodology. Knowledge Modeling from Peer-Reviewed Literature (e.g. activity of A  expression of B). Data Inputs Statistically significant expression changes from multiple ‘omic data types. Knowledge Assembly Model (KAM) Context-

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Figure S5: Summary Overview of Causal Reasoning Methodology

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  1. Figure S5: Summary Overview of Causal Reasoning Methodology Knowledge Modeling from Peer-Reviewed Literature (e.g. activity of A  expression of B) Data Inputs Statistically significant expression changes from multiple ‘omic data types Knowledge Assembly Model (KAM) Context- specific KAMs from the Knowledgebase Reverse Causal Reasoning Use of inference engine to identify the most probable upstream biological explanations as hypotheses Hypotheses Knowledgebase Collection of cause and effect biological relationships Causal Network Modeling Expert biologists refine and reconstruct hypotheses into comprehensive biological networks

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