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...

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Detalles Bibliográficos
Autores principales: Ma, Haoran, Tan, Tin Wee, Ban, Kenneth Hon Kim
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Software
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

Internet

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

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