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flowEMMi: an automated model-based clustering tool for microbial cytometric data.

Joachim LudwigChristian Höner Zu SiederdissenZishu LiuPeter F StadlerSusann Müller
Published in: BMC bioinformatics (2019)
flowEMMi is a useful tool for the automated cluster analysis of microbial FCM data. It overcomes the user-dependent and time-consuming manual clustering procedure and provides consistent results with ancillary information and statistical proof.
Keyphrases
  • microbial community
  • electronic health record
  • single cell
  • big data
  • rna seq
  • machine learning
  • high throughput
  • deep learning
  • minimally invasive
  • data analysis
  • health information
  • artificial intelligence