Predicting “pain genes”: multi-modal data integration using probabilistic classifiers and interaction networks
Accurate identification of pain-related genes remains challenging due to the complex nature of pain pathophysiology and the subjective nature of pain reporting in humans, or inferring pain states in animals on the basis of behaviour. Here, we use a machine learning approach to identify possible “pai...
| Main Authors: | , , , |
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| Formato: | Internet publication |
| Idioma: | English |
| Publicado: |
2024
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