An optimal normalization method for high sparse compositional microbiome data

• Michael B. Sohn ,

  Roles Conceptualization, Formal analysis, Methodology, Software, Visualization, Writing – original draft, Writing – review & editing

  * E-mail: michael_sohn@urmc.rochester.edu

  Affiliation Biostatistics and Computational Biology, University of Rochester Medical Center, Rochester, New York, United States of America

  https://orcid.org/0000-0002-4981-8351

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• Cynthia Monaco,

  Roles Writing – original draft, Writing – review & editing

  Affiliations Medicine, University of Rochester Medical Center, Rochester, New York, United States of America, Microbiology and Immunology, University of Rochester Medical Center, Rochester, New York, United States of America

  https://orcid.org/0000-0003-3093-5563

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• Steven R. Gill

  Roles Writing – original draft, Writing – review & editing

  Affiliation Microbiology and Immunology, University of Rochester Medical Center, Rochester, New York, United States of America

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