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coda4microbiome: compositional data analysis for microbiome studies

View ORCID ProfileM.Luz Calle, View ORCID ProfileAntoni Susin
doi: https://doi.org/10.1101/2022.06.09.495511
M.Luz Calle
1Biosciences Department, Faculty of Sciences, Technology and Engineering, University of Vic - Central University of Catalonia, Vic, Spain
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  • For correspondence: malu.calle@uvic.cat
Antoni Susin
2Mathematical Department, UPC-Barcelona Tech, Barcelona, Spain
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Article Information

doi 
https://doi.org/10.1101/2022.06.09.495511
History 
  • June 11, 2022.
Copyright 
The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. All rights reserved. No reuse allowed without permission.

Author Information

  1. M.Luz Calle1,* and
  2. Antoni Susin2
  1. 1Biosciences Department, Faculty of Sciences, Technology and Engineering, University of Vic - Central University of Catalonia, Vic, Spain
  2. 2Mathematical Department, UPC-Barcelona Tech, Barcelona, Spain
  1. ↵*To whom correspondence should be addressed. email: malu.calle{at}uvic.cat
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Posted June 11, 2022.
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coda4microbiome: compositional data analysis for microbiome studies
M.Luz Calle, Antoni Susin
bioRxiv 2022.06.09.495511; doi: https://doi.org/10.1101/2022.06.09.495511
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coda4microbiome: compositional data analysis for microbiome studies
M.Luz Calle, Antoni Susin
bioRxiv 2022.06.09.495511; doi: https://doi.org/10.1101/2022.06.09.495511

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