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bioRxiv · 10.1101/241802

DAtest: a framework for choosing differential abundance or expression method

Russel, J.·Thorsen, J.·Brejnrod, A. D.·Bisgaard, H.·Sorensen, S. J.·Burmolle, M.
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Abstract

DAtest is an R package for directly comparing different statistical methods for differential abundance and expression analysis on a dataset of interest; be it data from RNA-seq, proteomics, metabolomics or a microbial marker-gene survey. A myriad of statistical methods exists for conducting these analyses, and with this tool we give the analyst an empirical foundation for choosing a method suitable for a specific dataset. The package supports categorical and quantitative variables, paired/block experimental designs, and the inclusion of covariates. It is freely available at GitHub: https://github.com/Russel88/DAtest along with detailed instructions.

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Russel, J., Thorsen, J., Brejnrod, A. D., Bisgaard, H., Sorensen, S. J., Burmolle, M.. 2018-01-02. DAtest: a framework for choosing differential abundance or expression method. https://doi.org/10.1101/241802

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