New AI Model Clusters Cancer Subtypes Using Multi-Omic Data
A new self-supervised framework called Subtype-DIVIDE uses multi-omic data and random-walk-refined contrastive learning to identify robust cancer subtypes with significant ...
A new self-supervised framework called Subtype-DIVIDE uses multi-omic data and random-walk-refined contrastive learning to identify robust cancer subtypes with significant ...
Researchers have developed DIRAC, a geometric deep learning model that aligns distinct molecular modalities and transfers cell annotations across diverse ...
A single-embryo spatial transcriptomic and metabolomic atlas maps stage-specific molecular programmes across organ primordia in a Carnegie stage 12 human ...
© 2025 Scienmag - Science Magazine
© 2025 Scienmag - Science Magazine