Bzinb model-based pathway analysis and module identification facilitates integration of microbiome and metabolome data

HIGHLIGHTS

• who: Bridget M. Lin et al. from the Department of Biostatistics, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA have published the research work: BZINB Model-Based Pathway Analysis and Module Identification Facilitates Integration of Microbiome and Metabolome Data, in the Journal: Microorganisms 2023, 766. of 31/01/2023
• what: The authors show that, in real data applications, the new method can identify the crafted clusters with high accuracy. The authors compare u03c1 BZI NB used in BZINB-iMMPath to both u03c1 BNB and the Spearman . . .
  

   

  

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