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Modeling Path Importance for Effective Alzheimer's Disease Drug Repurposing
Thus, leveraging learned embeddings allows MPI to effectively differentiate the importance among paths.
Enhancing drug and cell line representations via contrastive learning for improved anti-cancer drug prioritization
In this work, we propose the use of contrastive learning to improve learned drug and cell line representations by preserving relationship structures associated with drug mechanism of action and cell line cancer types.
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