A novel generative adversarial networks modelling for the class imbalance problem in high dimensional omics data
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Class imbalance remains a large problem in high-throughput omics analyses, causing bias towards the over-represented class when training machine learning-based classifiers. Oversampling is a common method used to balance classes, allowing for better generaliza... ...
