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...
| Main Authors: | , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
BioMed Central Ltd
2022
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| Subjects: | |
| Online Access: | View Fulltext in Publisher |