Systematic evaluation of supervised machine learning for sample origin prediction using metagenomic sequencing data
Abstract Background The advent of metagenomic sequencing provides microbial abundance patterns that can be leveraged for sample origin prediction. Supervised machine learning classification approaches have been reported to predict sample origin accurately when the origin has been previously sampled....
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
BMC
2020-12-01
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| Series: | Biology Direct |
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| Online Access: | https://doi.org/10.1186/s13062-020-00287-y |