Article

Modeling healthy proteomic profiles for anomaly detection using subspace learning based one-class classification

2026-05-01

Abstract excerpt

High-throughput plasma proteomics provides sensitive and scalable measurements of thousands of systemic protein profiles from minimally invasive blood samples, creating new opportunities for disease detection and population-scale health monitoring. However, robust statistical modeling remains challenging due to high dimensionality, limited availability and high diversity of diseased samples, resulting in class imb...

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Literature Corpus work: f7c6d310-5641-55ce-adba-0f25f2dbdfe2
DOI: 10.64898/2026.04.30.722013

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