Modeling healthy proteomic profiles for anomaly detection using subspace learning based one-class classification
Fahad Sohrab, Atul Kumar, Virpi Ahola, Andrew T. Magis, Ville Hautamäki, Merja Heinäniemi, Sui Huang
This paper develops a subspace one-class classification framework for proteomics-driven anomaly detection using healthy reference data to identify disease patterns across multiple conditions.
bioRxiv · May 1, 2026 · PreprintBioinformatics