Additional file 1: of Tracking antibiotic resistance gene pollution from different sources using machine-learning classification
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https://springernature.figshare.com/articles/dataset/Additional_file_1_of_Tracking_antibiotic_resistance_gene_pollution_from_different_sources_using_machine-learning_classification/6350219/1
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Table S1. Metadata of 656 metagenomic datasets. Table S5. SourceTracker parameter adjustment. a Defined source input ratio in the three artificial configurations (A, B, and C). b Effect of parameter adjustment on SourceTracker prediction performance of configurations A, B, and C (indicated by RSD, sensitivity, specificity, precision, and accuracy). Table S6. Statistical details (IV and P value) of 95 indicator ARGs of the four ecotypes. (XLSX 78Â kb)
提供机构：
Zhang, Tong; Li, Li-Guan; Yin, Xiaole
创建时间：
2018-05-25
