Article
A data science approach to candidate gene selection of pain regarded as a process of learning and neural plasticity.
Pain - 1 Dec 2016
Ultsch Alfred, Kringel Dario, Kalso Eija, Mogil Jeffrey S, Lötsch Jörn
Abstract excerpt
The increasing availability of "big data" enables novel research approaches to chronic pain while also requiring novel techniques for data mining and knowledge discovery. We used machine learning to combine the knowledge about n = 535 genes identified empirically as relevant to pain with the knowledge about the functions of thousands of genes. Starting from an accepted description of chronic pain as displaying...
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