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Fig. 2 | Microbiome

Fig. 2

From: Machine learning algorithm to characterize antimicrobial resistance associated with the International Space Station surface microbiome

Fig. 2

Prediction of ARGs using a pre-trained DeepARG-SS model. a Distribution of ARG read counts across antibiotic classes for the three flights (F1, F2, F3). b Correlation of read counts found by DeepARG-SS and those in Singh et al. [43]. Pearson's product-moment correlation r = 0.86, (p = 6.879e−07) for the three flights and their locations. c Read counts of ARG class across flights for each location for PMA-treated samples in Singh et al. [43, 44]. The antibiotic class (multi-drug) is not shown. Results are for ARGs with probability > 0.8

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Microbiome

ISSN: 2049-2618

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