Microbial community modelling and diversity estimation using the hierarchical Pitman-Yor process

Kevin Mcgregor (1) , Aurélie Labbe (2) , Celia Mt Greenwood (1) , Todd Parsons (3) , Christopher Quince (4)

1 Department of Epidemiology, Biostatistics and Occupational Health [McGill University]
2 HEC Montréal - HEC Montréal
3 LPSM (UMR_8001) - Laboratoire de Probabilités, Statistique et Modélisation
4 Department of Microbiology and Infection [Coventry]

Background: The human microbiome comprises the microorganisms that inhabit the various locales of the human body and plays a vital role in human health. The composition of a microbial population is often quantified through measures of species diversity, which summarize the number of species along with their relative abundances into a single value. In a microbiome sample there will certainly be species missing from the 1 .

Domaines: Statistiques [math.ST]; Systématique, phylogénie et taxonomie; Bio-informatique [q-bio.QM]

Kevin Mcgregor, Aurélie Labbe, Celia Mt Greenwood, Todd Parsons, Christopher Quince. Microbial community modelling and diversity estimation using the hierarchical Pitman-Yor process. 2022. ⟨hal-03058452v2⟩