Yimiao Li

Dual-channel learning framework for microbe-disease association prediction via subgraph enhanced dynamic weight–calibrated graph convolutional and cross-pooling attention networks

STDCAMDA provides an effective computational framework for prioritizing candidate disease-related microbes and supporting downstream biomedical validation and introduces two strategies: a dynamically weighted fusion classifier that integrates dual-channel features and uses a multi-layer perceptron for prediction, and a...