A Graph Feature Auto-Encoder for the prediction of unobserved node features on biological networks

BACKGROUND: Molecular interaction networks summarize complex biological processes as graphs, whose structure is informative of biological function at multiple scales. Simultaneously, omics technologies measure the variation or activity of genes, proteins, or metabolites across individuals or experim...

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Detalles Bibliográficos
Autores principales: Hasibi, Ramin, Michoel, Tom
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8554915/
https://www.ncbi.nlm.nih.gov/pubmed/34706640
http://dx.doi.org/10.1186/s12859-021-04447-3

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8554915/
https://www.ncbi.nlm.nih.gov/pubmed/34706640
http://dx.doi.org/10.1186/s12859-021-04447-3

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