Revealing physiochemical factors and zooplankton influencing microcystis bloom toxicity in a large-shallow lake using bayesian machine learning

HIGHLIGHTS

• who: Xiaoxiao Wang and colleagues from the University of Chinese Academy of Sciences, Beijing, China have published the article: Revealing Physiochemical Factors and Zooplankton Influencing Microcystis Bloom Toxicity in a Large-Shallow Lake Using Bayesian Machine Learning, in the Journal: Toxins 2022, 530 of /2022/
• what: Observations
• how: The authors analysed a unique 22 sites dataset comprising monthly observations of water quality cyanobacterial genera assemblages and microcystins (MCs) quota and concentrations in a large-shallow Missing values of MCs were imputed using a non-negative latent factor (NLF) analysis and the results achieved . . .
  

   

  

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