The intuition behind this approach is that correlations across tissues and individuals will show a relatively normal distribution and upper-limit skews reflecting highly significant relationships have the potential to capture direct signaling.
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Leveraging inter-individual transcriptional correlation structure to infer discrete signaling mechanisms across metabolic tissues.
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