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Constraining PERMANOVA and LDM to within-set comparisons by projection improves the efficiency of analyses of matched sets of microbiome data.

Zhengyi ZhuGlen A SattenCaroline MitchellYi-Juan Hu
Published in: Microbiome (2021)
Including set indicator variables and permuting within sets when analyzing matched-set data with PERMANOVA or the LDM is a strategy that performs well and is capable of handling the complex data structures that frequently occur in microbiome studies. Video Abstract.
Keyphrases
  • electronic health record
  • big data
  • magnetic resonance imaging
  • computed tomography
  • magnetic resonance
  • machine learning
  • artificial intelligence
  • image quality
  • case control