The Challenges of Systems Biology: Community Efforts to Harness Biological Complexity
May 2009, Wiley-Blackwell
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A nagging concern, however, is how accurately these networks represent the biology. For complex systems like biological networks, there are practical limits on how well even massive amounts of data can uniquely define the underlying structure and yield useful predictions of measurable events. Indeed, although its advocates call this process "reverse engineering," the topology and the detailed molecular interactions of the "inferred" networks will likely never be known with precision.
This volume captures the ongoing process to assess the ability of scientists—and their computer servants—to infer networks from experimental data, by comparing their predictions to "gold-standard" networks whose structure is thought to be known.
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