The tsallis generalized entropy enhances the interpretation of transcriptomics datasets

HIGHLIGHTS

  • who: Nicolas Du00e9rian and colleagues from the Univ Paris, Unitu00e9 de recherche clinique, UMR, Paris, FranceEditor: Francisco JEsteban, Universidad de Jaen have published the research work: The Tsallis generalized entropy enhances the interpretation of transcriptomics datasets, in the Journal: PLOS ONE of September/12,/2021
  • what: The authors demonstrate that the Tsallis entropy function provides additional information compared to the traditional diversity indices such as the Shannon and Simpson indices. The authors propose a strategy for reducing the complexity of transcriptome datasets using a maximation of the beta diversity. Funding: This work has been funded . . .

     

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