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- W3213371340 abstract "Enterotypes of the human gut microbiome have been proposed to be a powerful prognostic tool to evaluate the correlation between lifestyle, nutrition, and disease. However, the number of enterotypes suggested in the literature ranged from two to four. The growth of available metagenome data and the use of exact, non-linear methods of data analysis challenges the very concept of clusters in the multidimensional space of bacterial microbiomes. Using several published human gut microbiome datasets, we demonstrate the presence of a lower-dimensional structure in the microbiome space, with high-dimensional data concentrated near a low-dimensional nonlinear submanifold, but the absence of distinct and stable clusters that could represent enterotypes. This observation is robust with regard to diverse combinations of dimensionality reduction techniques and clustering algorithms." @default.
- W3213371340 created "2021-11-22" @default.
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- W3213371340 date "2021-11-04" @default.
- W3213371340 modified "2023-09-27" @default.
- W3213371340 title "Absence of enterotypes in the human gut microbiomes reanalyzed with non-linear dimensionality reduction methods" @default.
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- W3213371340 doi "https://doi.org/10.1101/2021.11.04.467087" @default.
- W3213371340 hasPublicationYear "2021" @default.
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