Machine Learning for Microbial Phenotype Prediction
This thesis presents a scalable, generic methodology for microbial phenotype prediction based on supervised machine learning, several models for biological and ecological traits of high relevance, and the deployment in metagenomic datasets. The results suggest that the presented prediction tool can...
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| Format: | Electronic eBook |
| Language: | English |
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Wiesbaden :
Springer Fachmedien Wiesbaden : Imprint: Springer Spektrum,
2016.
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| Series: | BestMasters
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| Online Access: | Full Text via HEAL-Link |
