******************************************************************* STATISTICS SEMINARS @ COLLEGIO CARLO ALBERTO *******************************************************************
Venerdi 16 Settembre 2016 alle ore 12:00, presso l’Aula 5 del Collegio Carlo Alberto, Moncalieri (TO), si terra' il seguente seminario:
Boyu REN (Harvard University)
A BAYESIAN NONPARAMETRIC MODEL FOR MICROBIOME DATA ANALYSIS
We develop a statistical model to analyse microbiome profiling data based on sequencing of genetic fingerprints in 16S ribosomal RNA. The analysis allows us to quantify the uncertainty in ecological ordination and clustering methods commonly applied in microbiome research. In addition, it can be extended into a framework for association studies when sample characteristics are available. The method is based on the estimation of the underlying microbial distribution in experimental samples using a dependent Dirichet Process prior in which dependence is expressed through the combination of low-dimensional latent features and observed sample covariates. This type of model is advantageous for several reasons. First, information is borrowed across samples to estimate underlying microbial distributions. Second, the nonparametric nature of the model avoids the artefacts of truncation and rarefaction techniques. Lastly, the Bayesian framework mitigates the effects of multiple testing for associations between covariates and species abundance and other hypotheses of interest.
Tutti gli interessati sono invitati a partecipare.
Il seminario e' organizzato dalla "de Castro" Statistics Initiative (http://www.carloalberto.org/stats) in collaborazione con il Collegio Carlo Alberto.
Cordiali saluti, Matteo Ruggiero
--- Matteo Ruggiero University of Torino and Collegio Carlo Alberto www.matteoruggiero.it