Additional file 1: Table S1. of Large-scale benchmarking reveals false discoveries and count transformation sensitivity in 16S rRNA gene amplicon data analysis methods used in microbiome studies
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Overview of the datasets used in the study. Sampling and data characteristics of the seven datasets used in the study, A1âA4 for the false positive rate and spike-in retrieval tests and B1âB3 for the beta-diversity optimization tests. (XLSX 5 kb)
创建时间：
2017-04-22
