Machine Learning Predicts the Presence of 2,4,6-Trinitrotoluene in Sediments of a Baltic Sea Munitions Dumpsite Using Microbial Community Compositions.

Front Microbiol · 2021 · PMC8513674 · PMID 34659134

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highly significantno p-value reported

(2015) demonstrated, when they predicted 18 highly significant and 8 significant geochemical features such as element concentrations or conductivity of groundwater wells using community data.

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