MT-MAG: Accurate and interpretable machine learning for complete or partial taxonomic assignments of metagenomeassembled genomes

We propose MT-MAG, a novel machine learning-based software tool for the complete or partial hierarchically-structured taxonomic classification of metagenome-assembled genomes (MAGs). MT-MAG is alignment-free, with k-mer frequencies being the only feature used to distinguish a DNA sequence from anoth...

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Detalles Bibliográficos
Autores principales: Li, Wanxin, Kari, Lila, Yu, Yaoliang, Hug, Laura A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2023
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10437822/
https://www.ncbi.nlm.nih.gov/pubmed/37594964
http://dx.doi.org/10.1371/journal.pone.0283536

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10437822/
https://www.ncbi.nlm.nih.gov/pubmed/37594964
http://dx.doi.org/10.1371/journal.pone.0283536

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