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GraphSynergy: a network-inspired deep learning model for anticancer drug combination prediction

Research article (Journal of the American Medical Informatics Association, 2021) · cited 109× · AI/ML
academia openalex:W3172530361
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GraphSynergy: a network-inspired deep learning model for anticancer drug combination prediction

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GraphSynergy: a network-inspired deep learning model for anticancer drug combination prediction is a scholarly article[1].

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  • GraphSynergy: a network-inspired deep learning model for anticancer drug combination prediction's instance of is recorded as scholarly article[2].

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Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

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  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). GraphSynergy: a network-inspired deep learning model for anticancer drug combination prediction. Retrieved May 24, 2026, from https://4ort.xyz/entity/graphsynergy-a-network-inspired-deep-learning-model-for-anticancer-drug-combination-prediction
MLA “GraphSynergy: a network-inspired deep learning model for anticancer drug combination prediction.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/graphsynergy-a-network-inspired-deep-learning-model-for-anticancer-drug-combination-prediction.
BibTeX @misc{4ortxyz_graphsynergy-a-network-inspired-deep-learning-model-for-anticancer-drug-combination-prediction_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{GraphSynergy: a network-inspired deep learning model for anticancer drug combination prediction}}, year = {2026}, url = {https://4ort.xyz/entity/graphsynergy-a-network-inspired-deep-learning-model-for-anticancer-drug-combination-prediction}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): GraphSynergy: a network-inspired deep learning model for anticancer drug combination prediction — https://4ort.xyz/entity/graphsynergy-a-network-inspired-deep-learning-model-for-anticancer-drug-combination-prediction (retrieved 2026-05-24)

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