Enhancing feature selection for ordinal outcomes using resampling-based sparse linear discriminant analysis
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Motivation: High-dimensional biomedical datasets with ordinal outcomes-such as cancer stages or treatment responses-pose significant challenges for feature selection due to strong predictor correlations and limited sample sizes. ... ...
