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Performance determinants of unsupervised clustering methods for microbiome data.

Yushu ShiLiangliang ZhangChristine B PetersonKim-Anh DoRobert R Jenq
Published in: Microbiome (2022)
Our systematic evaluation of clustering performance in these five datasets demonstrates that there is no existing clustering method that universally performs best across all datasets. We propose a combined metric of BC and UU that capitalizes on the complementary strengths of the two metrics. Video abstract.
Keyphrases
  • rna seq
  • single cell
  • machine learning
  • big data
  • data analysis