Nature

Interpretable graph Kolmogorov–Arnold networks for multi-cancer classification and biomarker identification using multi-omics data

The integration of heterogeneous multi-omics datasets at a systems level remains a central challenge for developing analytical and computational models in precision cancer diagnostics. This paper ...
Nature

Graph theoretic and machine learning approaches in molecular property prediction of bladder cancer therapeutics

Graph theory consists of the mathematical study of the properties of the graphs. A graph consists of a set of vertices, nodes, or points, and a set of edges, links, or lines connecting pairs of ...
Medical Xpress

Graph machine learning model shows potential for predicting cancer genes

The World Health Organization reports a steady increase in cancer patients worldwide, marking it as a major health threat. Preventing and treating cancer has become a global priority, with identifying ...