Predicting synergistic drug combinations – MFSynDCP
MFSynDCP, a drug combination synergy prediction model based on multi-source feature interaction learning, intends to predict the synergistic effects of anti-tumor drug combinations. This model includes a graph aggregation module with an adaptive attention mechanism for learning drug interactions and a multi-source feature interaction learning controller for managing information transfer between different data sources, accommodating both drug and cell line […]
