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Predicting “pain genes”: multi-modal data integration using probabilistic classifiers and interaction networks

2024-05-17

Abstract excerpt

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 “pain genes”. Labelling was based on a gold-standard list of genes with validated involvement across pain conditions, and...

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Identifiers and source

Literature Corpus work
33251c71-d884-5f20-bfcc-a8fb43deb9fa
DOI
10.1101/2024.05.15.594305
Open publication

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Predicting “pain genes”: multi-modal data integration using probabilistic classifiers and interaction networksDOI 10.1101/2024.05.15.594305
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