Validation Benchmark Study F1000-Research (Data)

Analysis results and data used to perform the benchmarking study entitled as R data objects.
Leveraging Synthetic Data to Validate a Benchmark Study for Differential Abundance Tests for 16S Microbiome Sequencing Data
The study protocol is the following:
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. F1000Research, 13, 1180. https://f1000research.com/articles/13-1180
The code used to generate this is available at
https://github.com/kreutz-lab/ValidationBenchmarkStudyF1000
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.