A comprehensive evaluation framework for benchmarking multi-objective feature selection in omics-based biomarker discovery
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Machine learning algorithms have been extensively used for accurate classification of cancer subtypes driven by gene expression-based biomarkers. However, biomarker models combining multiple gene expression signatures are often not reproducible in external val... ...
