Graph Representation Learning for the Prediction of Medication Usage in the UK Biobank Based on Pharmacogenetic Variants

Graph Representation Learning for the Prediction of Medication Usage in the UK Biobank Based on Pharmacogenetic Variants

Ineffective treatment and side effects are associated with high burdens for the patient and society. We investigated the application of graph representation learning (GRL) for predicting medication usage based on individual genetic data in the United Kingdom Biobank (UKBB). A graph convolutional net...

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Bibliographic Details
Main Authors: Bill Qi, Yannis J. Trakadis
Format: Article
Language:English
Published: MDPI AG 2025-05-01
Series:Bioengineering
Subjects:
pharmacogenetics
machine learning
graph representation learning
graph convolutional network
Online Access:https://www.mdpi.com/2306-5354/12/6/595
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