1139-Interpretable Drug Synergy Prediction

This research presents an interpretable machine learning framework designed to predict drug combination synergy in breast cancer treatment. Researchers developed a random forest model that utilizes simulated protein activities, generated through Boolean modeling of signaling pathways, as its primary input features. Unlike "black box" models, this approach allows for local interpretability, meaning...去小宇宙查看完整单集简介
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