Ontology-aware deep learning enables ultrafast and interpretable source tracking among sub-million microbial community samples from hundreds of niches

The taxonomic structure of microbial community sample is highly habitat-specific, making source tracking possible, allowing identification of the niches where samples originate. However, current methods face challenges when source tracking is scaled up. Here, we introduce a deep learning method base...

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Detalles Bibliográficos
Autores principales: Zha, Yuguo, Chong, Hui, Qiu, Hao, Kang, Kai, Dun, Yuzheng, Chen, Zhixue, Cui, Xuefeng, Ning, Kang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Method
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9040266/
https://www.ncbi.nlm.nih.gov/pubmed/35473941
http://dx.doi.org/10.1186/s13073-022-01047-5

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9040266/
https://www.ncbi.nlm.nih.gov/pubmed/35473941
http://dx.doi.org/10.1186/s13073-022-01047-5

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