Validation Benchmark Study F1000-Research (Data)
<p dir="ltr">Analysis results and data used to perform the benchmarking study entitled as R data objects.</p><p dir="ltr"><b>Leveraging Synthetic Data to Validate a Benchmark Study for Differential Abundance Tests for 16S Microbiome Sequencing Data</b&g...
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2025
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| Summary: | <p dir="ltr">Analysis results and data used to perform the benchmarking study entitled as R data objects.</p><p dir="ltr"><b>Leveraging Synthetic Data to Validate a Benchmark Study for Differential Abundance Tests for 16S Microbiome Sequencing Data</b></p><p dir="ltr">The study protocol is the following:</p><p dir="ltr">Kohnert, E., & Kreutz, C. (2025). Computational study protocol: leveraging synthetic data to validate a benchmark study for differential abundance tests for 16s microbiome sequencing data. <i>F1000Research</i>, <i>13</i>, 1180. <a href="https://f1000research.com/articles/13-1180" rel="noreferrer" target="_blank">https://f1000research.com/articles/13-1180</a></p><p dir="ltr">The code used to generate this is available at </p><p dir="ltr"><a href="https://github.com/kreutz-lab/ValidationBenchmarkStudyF1000" rel="noreferrer" target="_blank">https://github.com/kreutz-lab/ValidationBenchmarkStudyF1000</a></p><p dir="ltr">Each RDS file contains the so called data_to_compare object, which is a hirarchical list object containing the experimental data, simualted data, results of the DA analyses as well as other calculations and information. Some information is only available in a compressed form. Use bs_decompress() from our github repository for de-compression.</p> |
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