DeepDRK: a deep learning framework for drug repurposing through kernel-based multi-omics integration
Summary
DeepDRK: a deep learning framework for drug repurposing through kernel-based multi-omics integration is a scholarly article[1].
Key Facts
DeepDRK: a deep learning framework for drug repurposing through kernel-based multi-omics integration's instance of is recorded as scholarly article[2].
References
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Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.
APA4ort.xyz Knowledge Graph. (2026). DeepDRK: a deep learning framework for drug repurposing through kernel-based multi-omics integration. Retrieved May 24, 2026, from https://4ort.xyz/entity/deepdrk-a-deep-learning-framework-for-drug-repurposing-through-kernel-based-multi-omics-integration
MLA“DeepDRK: a deep learning framework for drug repurposing through kernel-based multi-omics integration.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/deepdrk-a-deep-learning-framework-for-drug-repurposing-through-kernel-based-multi-omics-integration.
BibTeX@misc{4ortxyz_deepdrk-a-deep-learning-framework-for-drug-repurposing-through-kernel-based-multi-omics-integration_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{DeepDRK: a deep learning framework for drug repurposing through kernel-based multi-omics integration}}, year = {2026}, url = {https://4ort.xyz/entity/deepdrk-a-deep-learning-framework-for-drug-repurposing-through-kernel-based-multi-omics-integration}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): DeepDRK: a deep learning framework for drug repurposing through kernel-based multi-omics integration — https://4ort.xyz/entity/deepdrk-a-deep-learning-framework-for-drug-repurposing-through-kernel-based-multi-omics-integration (retrieved 2026-05-24)
