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...

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Detalles Bibliográficos
Autores principales: Liu, Dan, Ma, Yingjun, Jiang, Xingpeng, He, Tingting
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2019
Materias:
Research
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

Internet

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

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