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Machine learning classification of microbial community compositions to predict anthropogenic pollutants in the Baltic Sea

René Janßen

2020 · DOI: 10.18453/ROSDOK_ID00002897
1 Citations

TLDR

Machine learning with community data predicted the Baltic Sea-detected pollutants glyphosate and 2,4,6-trinitrotoluene using the developed R package “phyloseq2ML”, finding the interpretability of machine learning models was found of particular importance.