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A knowledge graph representation learning approach to predict novel kinase-substrate interactions
In this work, we present a novel knowledge graph representation learning approach to predict novel interaction partners for understudied kinases.
Understanding the factors driving the opioid epidemic using machine learning
Furthermore, we discovered that, as the epidemic has shifted from legal (i. e., prescription opioids) to illegal (e. g., heroin and fentanyl) drugs in recent years, the correlation of environment, crime and health related variables with the opioid risk has increased significantly while the correlation of economic and socio-demographic variables has decreased.
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