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A Librarian's Guide to Graphs, Data and the Semantic Web by James Powell

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10

Networks in life sciences

Graphs and networks have important applications in the life sciences because they can model the characteristics of complex systems and complex patterns of interaction. These models can be used to predict and affect change in such systems. For example, the spread of an infectious disease within a population can be modeled as a network. Social or physical interactions among entities can predict the likely path a disease may take. With a reasonably accurate model, one can then conduct experiments that might otherwise be considered unethical, such as how effective a vaccine might be in halting the spread of a disease if introduced at specific points in the graph. This chapter looks at two areas in life sciences, the spread ...

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