Explainable machine learning models for glioma subtype classification and survival prediction
Olga Vershinina, Victoria D. Turubanova, Mikhail Krivonosov, Arseniy Trukhanov, Mikhail Ivanchenko
This paper develops explainable machine learning models to classify glioma subtypes and predict survival using RNA-seq data, achieving high accuracy and transparency.
Cancers · Aug 9, 2025Peer-reviewedBioinformatics