Article

Revisiting Logistic Regression for High-Dimensional Gene Expression Data

2026-07-24

Abstract excerpt

Logistic regression remains a widely used classification method due to its interpretability and computational efficiency, but its direct application to high-dimensional biomedical data is limited when the number of features greatly exceeds the number of samples. In this paper, we propose a reformulated logistic regression framework designed for feature selection and classification in complex high-dimensional setti...

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Literature Corpus work: c8d74899-b67b-5b1e-b126-a34f4c1abd4d
DOI: 10.64898/2026.07.20.739668

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