Statistical Challenges for Human Microbiome Analysis Authors Authors and affiliations

Statistical Challenges for Human Microbiome Analysis Authors Authors and affiliations

Online publication: 09/05/2017 Journal: Trends in Mathematics

Abstract:

DNA sequencing technologies have revolutionized microbiome studies. In this work we analyze microbiome data from an HIV study focused on the characterization of microbiome composition in HIV-1 infected patients. A 155 cohort of HIV infected and non-infected individuals is analyzed to characterize dietary and gut microbiome association in this group of patients. A penalized Dirichlet Multinomial regression model has been considered. The assumed underlying Dirichlet distribution in this modelization provides additional flexibility to the multinomial model which results in a better fit of the typically overdispersed microbiome data.

Authors: Rivera-Pinto J, Estany C, Paredes R, Calle M, Noguera-Julián M, the MetaHIV-Pheno Study Group.

Subscribe to our newsletter

Back to Top
Irsi Caixa

Promoted by:

'La Caixa' Foundation Generalitat de Catalunya - Departament de Salut

 

HR Excellence in Research

Member of:

Cerca

In cooperation with: