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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...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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BioMed Central
2021
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| 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 |