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Activity Number: 347
Type: Topic Contributed
Date/Time: Tuesday, August 2, 2016 : 10:30 AM to 12:20 PM
Sponsor: Section on Statistics in Genomics and Genetics
Abstract #320305
Title: A Bayesian Nonparametric Analysis of Heterogeneous Data on Microbial Communities
Author(s): Sergio Bacallado*
Companies:
Keywords: Bayesian analysis ; Bayesian nonparametrics ; Factor analysis ; Variational inference ; Integrative biology ; Heterogeneous data
Abstract:

Human microbiome studies aim to characterize the microbial communities in the body and the effect of environmental factors on them. A range of experimental techniques have been developed in recent years to catalogue the species composition of a biological sample through ribosomal DNA sequencing, to measure the transcription level of microbial genes, and the synthesis of proteins and metabolites. Modelling such heterogeneous data with a coherent assessment of uncertainty from exploratory analysis, through model selection and inference presents a significant challenge. We propose a Bayesian approach based on latent factors, which is capable of combining insights from various experiments in a parsimonious and interpretable way. We discuss how to scale up computations to massive datasets and evaluate the robustness to prior parameters.


Authors who are presenting talks have a * after their name.

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