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

Name: 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
Creator: Figshare
Published: 2024-12-17 15:48:57
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DataCite Commons2024-12-17 更新2024-07-27 收录

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https://springernature.figshare.com/articles/dataset/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/4367192/1

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Overview of the datasets used in the study. Sampling and data characteristics of the seven datasets used in the study, A1â A4 for the false positive rate and spike-in retrieval tests and B1â B3 for the beta-diversity optimization tests. (XLSX 5 kb)

本研究所用数据集概述。本研究涉及的7个数据集的采样方式与数据特征：A1至A4用于假阳性率与掺入检索测试，B1至B3用于β多样性优化测试。（XLSX格式，大小5 KB）

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Figshare

创建时间：

2017-12-19