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Recently, Quinn and Erb et al made the case that when used correctly, correlation and proportionality can outperform MMvec when identifying microbe-metabolite interactions. We revisit this comparison and show that the proposed correlation and proportionality are outperformed by MMvec on real data due to their inability to deal with sparsity commonly observed in microbiome and metabolome datasets.

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  • Downloaded 342 times
  • Download rankings, all-time:
    • Site-wide: 36,403 out of 73,307
    • In bioinformatics: 4,477 out of 7,149
  • Year to date:
    • Site-wide: 6,251 out of 73,307
  • Since beginning of last month:
    • Site-wide: 6,251 out of 73,307

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