GCOA-Net: a graph-regularized cross-omics attention network for interpretable breast cancer molecular subtype classification

IntroductionAccurate intrinsic molecular subtyping is essential for precision management of breast cancer, yet multi-omics integration remains challenging due to high dimensionality, structured cross-omics dependencies, and the need for clinically interpretable and reliable predictions.MethodsWe pro...

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Principais autores:	Chen Li, Zhen Zhang, Chun Zhang
Formato:	Artigo
Idioma:	Inglês
Publicado em:	Frontiers Media S.A. 2026-04-01
coleção:	Frontiers in Medicine
Assuntos:	breast cancer calibration graph neural networks interpretability molecular subtyping multi-omics integration
Acesso em linha:	https://www.frontiersin.org/articles/10.3389/fmed.2026.1790437/full
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