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algorithm-runs

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ICA is an important alternative to classical statistical approaches for non-targeted metabolomics data. It extends the concept of regular correlation (e.g. in PCA, ASCA and PLS-DA) to statistical dependance by capturing higher order dependencies. However, its algorithm instability (output variations between different algorithm runs) and the biol…

  • Updated May 9, 2018
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