A novel generative adversarial networks modelling for the class imbalance problem in high dimensional omics data
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...
Source: BMC Medical Informatics and Decision Making - Category: Information Technology Authors: Samuel Cusworth, Georgios V. Gkoutos and Animesh Acharjee Tags: Research Source Type: research