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Graph embedding-based novel protein interaction prediction via higher-order graph convolutional network
Protein–protein interactions (PPIs) are essential for most biological processes. However, current PPI networks present high levels of noise, sparseness and incompleteness, which limits our ability to understand the cell at the system level from the PPI network. Predicting novel (missing) links in no...
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| Pubblicato in: | PLoS One |
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| Autori principali: | , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
Public Library of Science
2020
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7514053/ https://ncbi.nlm.nih.gov/pubmed/32970681 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0238915 |
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