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Predicting virus-host association by Kernelized logistic matrix factorization and similarity network fusion
BACKGROUND: Viruses are closely related to bacteria and human diseases. It is of great significance to predict associations between viruses and hosts for understanding the dynamics and complex functional networks in microbial community. With the rapid development of the metagenomics sequencing, some...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
BioMed Central
2019
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6886165/ https://www.ncbi.nlm.nih.gov/pubmed/31787095 http://dx.doi.org/10.1186/s12859-019-3082-0 |