Results of generalized linear modeling as implemented in DESeq2 (Love et al. 2014) applied to metagenome function counts.
A data frame with 5749 observations on the following 6 variables.
Love MI, Huber W, Anders S (2014) Moderated estimation of fold change and dispersion for RNA-seq data with DESeq2, Genome Biology, 15:550.
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