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DEICODE

DEICODE is a form of Aitchison Distance that is robust to high levels of sparsity. DEICODE utilizes a natural solution to the zero problem formulated in recommendation systems called matrix completion. A simple way to interpret the method is, as a robust compositional PCA (via SVD) where zero values do not influence the resulting ordination.

homepage: https://library.qiime2.org/plugins/deicode/19/

version toolchain
0.2.4 foss/2022a

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