Normalized counts from the matrix table are transformed to log2 values by metagenomeseq, aren´t they? My question is about the zeros in the count matrix. How are they transformed to allow statistical analysis? (as log2 of zero gives an error). Thanks!
In addition, how is it possible that features with negative log2 values in the transformed count matrix come up with positive average expression values in the statistical output? Thanks!