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Predicting protein–protein interactions through sequence-based deep learning
MOTIVATION: High-throughput experimental techniques have produced a large amount of protein–protein interaction (PPI) data, but their coverage is still low and the PPI data is also very noisy. Computational prediction of PPIs can be used to discover new PPIs and identify errors in the experimental P...
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| Publicado no: | Bioinformatics |
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| Main Authors: | , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Oxford University Press
2018
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6129267/ https://ncbi.nlm.nih.gov/pubmed/30423091 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/bioinformatics/bty573 |
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