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Hulya Yurekli

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Open access Aug 2026

A simulation-based comparison of Boruta, LASSO, and Elastic Net for variable selection in logistic regression, with an ovarian cancer miRNA application

Three widely used variable selection approaches are compared under a range of data-generating conditions and to illustrate their performance using an ovarian cancer miRNA dataset, finding Boruta offers a favorable balance between sensitivity and specificity in highly correlated settings and LASSO provides stricter fals...

Reza Arabi Belaghi, Hulya Yurekli, Farzaneh Hamidi et al. · 0 citations

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