A Method for Inferring Candidate Disease-Disease Associations
Author:
Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-63772-8_8
Reference20 articles.
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3. Cinaglia, P., Cannataro, M.: Network alignment and motif discovery in dynamic networks. Netw. Model. Anal. Health Inform. Bioinform. 11 (2022). https://doi.org/10.1007/s13721-022-00383-1
4. Cinaglia, P., Cannataro, M.: Identifying candidate gene-disease associations via graph neural networks. Entropy (Basel) 25(6) (2023)
5. Cinaglia, P., Cannataro, M.: A method based on temporal embedding for the pairwise alignment of dynamic networks. Entropy 25(4) (2023). https://doi.org/10.3390/e25040665
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