Article

Experimental Design Dominates Model Architecture in Multi-Model Cancer Classification: A Translational Bioinformatics Analysis Across Small-n and Large-n Regimes

2026-06-23

Abstract excerpt

<title>Abstract</title> <p>Background: Model selection in translational bioinformatics is often framed as an architecture problem, yet precision oncology usually operates under small, class-imbalanced, multi-modal human datasets where experimental design may be the dominant determinant of performance. <h4>Objectives:</h4> This paper asks whether simpler architectures outperform deep learning under small-n clinica...

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Literature Corpus work: ac069cde-9d69-5421-b556-cf0612e79a9e
DOI: 10.21203/rs.3.rs-10108796/v1

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