Predicting anticancer hyperfoods with graph convolutional networks

BACKGROUND: Recent efforts in the field of nutritional science have allowed the discovery of disease-beating molecules within foods based on the commonality of bioactive food molecules to FDA-approved drugs. The pioneering work in this field used an unsupervised network propagation algorithm to lear...

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Detalles Bibliográficos
Autores principales: Gonzalez, Guadalupe, Gong, Shunwang, Laponogov, Ivan, Bronstein, Michael, Veselkov, Kirill
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Primary Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8182908/
https://www.ncbi.nlm.nih.gov/pubmed/34099048
http://dx.doi.org/10.1186/s40246-021-00333-4

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8182908/
https://www.ncbi.nlm.nih.gov/pubmed/34099048
http://dx.doi.org/10.1186/s40246-021-00333-4

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