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A multi-task CNN learning model for taxonomic assignment of human viruses
BACKGROUND: Taxonomic assignment is a key step in the identification of human viral pathogens. Current tools for taxonomic assignment from sequencing reads based on alignment or alignment-free k-mer approaches may not perform optimally in cases where the sequences diverge significantly from the refe...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
BioMed Central
2021
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8170063/ https://www.ncbi.nlm.nih.gov/pubmed/34078269 http://dx.doi.org/10.1186/s12859-021-04084-w |