2022
DOI: 10.1016/j.scitotenv.2022.154412
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Machine learning predicts the impact of antibiotic properties on the composition and functioning of bacterial community in aquatic habitats

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Cited by 14 publications
(1 citation statement)
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“…Also, the average relative abundance of Acinetobacter decreased from 10.16% in System-1 down to 3.06% in System-2. This phenomenon indicated that different types of antibiotics might have different effects on shaping the microbial communities of aquatic systems [44,45].…”
Section: Impact Of Ciprofloxacin On Microbial Community Composition I...mentioning
confidence: 98%
“…Also, the average relative abundance of Acinetobacter decreased from 10.16% in System-1 down to 3.06% in System-2. This phenomenon indicated that different types of antibiotics might have different effects on shaping the microbial communities of aquatic systems [44,45].…”
Section: Impact Of Ciprofloxacin On Microbial Community Composition I...mentioning
confidence: 98%