Machine learning classification of fibromyalgia from blood transcriptomes: confounder benchmarking and implications for endometriosis-associated pain
Salsabil Ouni, Ferdaous Ouni, Alif Chebbi
This paper evaluates machine learning models for classifying fibromyalgia from blood transcriptomes, finding that demographic and cell-composition factors explain much of the signal.
bioRxiv · Oct 26, 2026 · PreprintBioinformatics