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In such a task, network models are useful tools as they methodically address complex disorders by looking at dysregulated modules rather than the effects of individual mutations or genes in the conventional reductionist paradigm ( 3 Computational pipelines for elucidating the connections and causalities Computational pipelines start with an input dataset, which may include genomic alterations, transcriptomics, proteomics, metabolomics, and any prior knowledge combinations (Figure 2)

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