Abstract
Dynamic networks in systems medicine.
Highlights
The sign that such “technological discontinuity” is transforming research and inducing shifts of paradigms at experimental, methodological, and applied levels, is testified by the impulses – if not shocks – given to the associated computational disciplines
Spatiotemporal dynamics are usually lacking in network maps, replaced by averages taken over conditions or time points
Multidimensionality is crucial for establishing a dynamic network approach based on the study of coordinated spatiotemporal signaling networks and pathways activation
Summary
The sign that such “technological discontinuity” is transforming research and inducing shifts of paradigms at experimental, methodological, and applied levels, is testified by the impulses – if not shocks – given to the associated computational disciplines. Many types of biological networks exist, examples being gene regulatory, protein–protein interaction, metabolic, signaling ones. While such diversity has requested particular methods and inference approaches in each application context, it did not prevent from observing common features, especially at a topological level (small world, scaling laws, etc.).
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