Stochastic variational variable selection for high-dimensional microbiome data

HIGHLIGHTS

• who: Tung Dang from the (UNIVERSITY) have published the paper: Stochastic variational variable selection for high-dimensional microbiome data, in the Journal: (JOURNAL)
• what: The authors propose a novel approach to improve the performance of the widely used DMM approach by combining three ideas: (i) the authors propose an indicator to identify representative operational taxonomic units that substantially contribute to the differentiation among clusters; (ii) to address the computational burden of highdimensional microbiome data the authors propose a inference which approximates the posterior distribution using a controllable distribution called distribution and optimization algorithms for fast . . .
  

   

  

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