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Fig. 1 | Microbiome

Fig. 1

From: Tracking antibiotic resistance gene pollution from different sources using machine-learning classification

Fig. 1

General information (including dataset composition, geographical location, and ARG abundance profile) of downloaded metagenomic datasets and preliminary validation of SourceTracker prediction performance. a Dataset composition among four ecotypes (i.e., HF, AF, WA, and NT) and regional distribution profile of HF samples. b Geographical location of global-scale metagenomic samples. c ARG abundance profile (log2 transformed) across 24 ARG types among different eco-subtypes. d Ecotype prediction by SourceTracker using leave-one-out cross-validation, in which bar chart was correctly predicted probability profile (error bar, standard deviation) among four ecotypes and pie charts were correct prediction ratio (color part) of samples in the corresponding ecotype. Consistent pairs of color-ecotype were used in all sub-figures, i.e., orange-HF, yellow-AF, green-WA, and cyan-NT

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