An integrative Bayesian Dirichlet-multinomial regression model for the analysis of taxonomic abundances in microbiome data.

MLA

Wadsworth, W.Duncan, et al. “An Integrative Bayesian Dirichlet-Multinomial Regression Model for the Analysis of Taxonomic Abundances in Microbiome Data.” BMC Bioinformatics, vol. 18, no. 1, Feb. 2017, p. 94. EBSCOhost, https://doi.org/10.1186/s12859-017-1516-0.

APA

Wadsworth, W. D., Argiento, R., Guindani, M., Galloway-Pena, J., Shelburne, S. A., & Vannucci, M. (2017). An integrative Bayesian Dirichlet-multinomial regression model for the analysis of taxonomic abundances in microbiome data. BMC Bioinformatics, 18(1), 94. https://doi.org/10.1186/s12859-017-1516-0

Chicago

Wadsworth, W Duncan, Raffaele Argiento, Michele Guindani, Jessica Galloway-Pena, Samuel A Shelburne, and Marina Vannucci. 2017. “An Integrative Bayesian Dirichlet-Multinomial Regression Model for the Analysis of Taxonomic Abundances in Microbiome Data.” BMC Bioinformatics 18 (1): 94. doi:10.1186/s12859-017-1516-0.