I have a matrix with gene abundances through different samples. I know I work with compositional data, and I need to normalize my dataset. I also know the clr transformation is used with compositional data in microbiology.
On this matrix, I will compute the correlations between my genes in order to contrust clusters. I would like to know if the alr or ilr transformation could be more suitable for my analysis of correlations? Or if I should stay with the clr transformation?