Article

MarkerScout: A Disease-Agnostic Machine Learning Framework for Biomarker Prediction from Multi-Scale Mechanistic Models

2026-06-05

Abstract excerpt

<h4>SUMMARY</h4> Identifying robust biomarkers from high-dimensional biomedical data is a central challenge in translational research, but candidate rankings produced by any single feature-selection or classification method depend on algorithmic choices and rarely reproduce across pipelines. We present a disease-agnostic machine-learning framework that addresses this dependence by systematically benchmarking 25 (...

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Literature Corpus work: ba8af812-8b21-5b6d-aae0-babbdb40cb85
DOI: 10.64898/2026.05.30.727266

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