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Data and Network Science for Noisy Heterogeneous Systems
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Rider, Andrew Kent – ProQuest LLC, 2013
Data in many growing fields has an underlying network structure that can be taken advantage of. In this dissertation we apply data and network science to problems in the domains of systems biology and healthcare. Data challenges in these fields include noisy, heterogeneous data, and a lack of ground truth. The primary thesis of this work is that…
Descriptors: Computer Networks, Computer Science, Biological Sciences, Health Sciences