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specificity: an R package for analysis of feature specificity to environmental and higher dimensional variables, applied to microbiome species data
View ORCID ProfileJohn L. Darcy, Anthony S. Amend, Sean O. I. Swift, Pacifica S. Sommers, Catherine A. Lozupone
doi: https://doi.org/10.1101/2021.11.06.467582
John L. Darcy
1Division of Biomedical Informatics and Personalized Medicine, University of Colorado School of Medicine, Aurora, Colorado, USA
Anthony S. Amend
2School of Life Sciences, University of Hawai‘i at Mānoa, Honolulu, HI, USA
3Pacific Biosciences Research Center, University of Hawai‘i at Mānoa, Honolulu, HI, USA
Sean O. I. Swift
2School of Life Sciences, University of Hawai‘i at Mānoa, Honolulu, HI, USA
Pacifica S. Sommers
4Department of Ecology and Evolutionary Biology, University of Colorado, Boulder, CO, USA
Catherine A. Lozupone
1Division of Biomedical Informatics and Personalized Medicine, University of Colorado School of Medicine, Aurora, Colorado, USA
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Posted June 12, 2022.
specificity: an R package for analysis of feature specificity to environmental and higher dimensional variables, applied to microbiome species data
John L. Darcy, Anthony S. Amend, Sean O. I. Swift, Pacifica S. Sommers, Catherine A. Lozupone
bioRxiv 2021.11.06.467582; doi: https://doi.org/10.1101/2021.11.06.467582
specificity: an R package for analysis of feature specificity to environmental and higher dimensional variables, applied to microbiome species data
John L. Darcy, Anthony S. Amend, Sean O. I. Swift, Pacifica S. Sommers, Catherine A. Lozupone
bioRxiv 2021.11.06.467582; doi: https://doi.org/10.1101/2021.11.06.467582
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