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Predicting gene-disease associations from the heterogeneous network using graph embedding

Research article (2019 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 2019) · cited 32× · AI/ML
academia openalex:W3005261876
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Predicting gene-disease associations from the heterogeneous network using graph embedding

Summary

Predicting gene-disease associations from the heterogeneous network using graph embedding is a scholarly article[1].

Key Facts

  • Predicting gene-disease associations from the heterogeneous network using graph embedding's instance of is recorded as scholarly article[2].

References

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Direct Wikidata claims

  1. [2] ↑ . wikidata.org.

Class ancestry

  1. [1] ↑ . Wikidata. wikidata.org.

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APA 4ort.xyz Knowledge Graph. (2026). Predicting gene-disease associations from the heterogeneous network using graph embedding. Retrieved May 24, 2026, from https://4ort.xyz/entity/predicting-gene-disease-associations-from-the-heterogeneous-network-using-graph-embedding
MLA “Predicting gene-disease associations from the heterogeneous network using graph embedding.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/predicting-gene-disease-associations-from-the-heterogeneous-network-using-graph-embedding.
BibTeX @misc{4ortxyz_predicting-gene-disease-associations-from-the-heterogeneous-network-using-graph-embedding_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Predicting gene-disease associations from the heterogeneous network using graph embedding}}, year = {2026}, url = {https://4ort.xyz/entity/predicting-gene-disease-associations-from-the-heterogeneous-network-using-graph-embedding}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Predicting gene-disease associations from the heterogeneous network using graph embedding — https://4ort.xyz/entity/predicting-gene-disease-associations-from-the-heterogeneous-network-using-graph-embedding (retrieved 2026-05-24)

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