Tag: cancer subtyping

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 CancerSubtyper, an end-to-end deep learning framework with an interactive web interface that automates preprocessing, batch effect correction, ...

Researchers have developed meth-SemiCancer2, a deep learning framework that combines domain adaptation and contrastive learning to correct batch effects in ...

Researchers at the University of Naples Federico II have developed a hierarchical graph neural network framework that represents breast tissue ...