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mixMC: a multivariate statistical framework to gain insight into Microbial Communities
View ORCID ProfileKim-Anh Lê Cao, Mary-Ellen Costello, Vanessa Anne Lakis, François Bartolo, Xin-Yi Chua, Rémi Brazeilles, Pascale Rondeau
doi: https://doi.org/10.1101/044206
Kim-Anh Lê Cao
1The University of Queensland Diamantina Institute, Translational Research Institute, Brisbane, QLD 4102, Australia,
Mary-Ellen Costello
1The University of Queensland Diamantina Institute, Translational Research Institute, Brisbane, QLD 4102, Australia,
Vanessa Anne Lakis
1The University of Queensland Diamantina Institute, Translational Research Institute, Brisbane, QLD 4102, Australia,
François Bartolo
2Institut de Mathématiques de Toulouse, UMR CNRS 5219 INSA Université de Toulouse, Toulouse, France,
Xin-Yi Chua
3Queensland Facility for Advanced Bioinformatics, The Institute for Molecular Bioscience, Brisbane, QLD 4072, Australia
Rémi Brazeilles
4Danone Nutricia Research, Palaiseau Cedex, 91767, France
Pascale Rondeau
4Danone Nutricia Research, Palaiseau Cedex, 91767, France
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Posted March 16, 2016.
mixMC: a multivariate statistical framework to gain insight into Microbial Communities
Kim-Anh Lê Cao, Mary-Ellen Costello, Vanessa Anne Lakis, François Bartolo, Xin-Yi Chua, Rémi Brazeilles, Pascale Rondeau
bioRxiv 044206; doi: https://doi.org/10.1101/044206
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