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Activity Number: 239 - Omics II
Type: Contributed
Date/Time: Monday, July 30, 2018 : 2:00 PM to 3:50 PM
Sponsor: Biometrics Section
Abstract #328795 Presentation
Title: GLM-Based Latent Variable Ordination Method for Microbiome Samples
Author(s): Michael Sohn* and Hongzhe Li
Companies: University of Rochester and University of Pennsylvania
Keywords: Ordination; Microbiome

Distance-based ordination methods, such as the principal coordinate analysis (PCoA), are incapable of distinguishing between location effect (i.e., the effect caused by the difference in mean abundance) and dispersion effect (i.e., the effect caused by the difference in variability). In other words, PCoA may falsely display a location effect when there is a strong dispersion effect. To resolve this potential problem, We propose, as an ordination method, a zero-inflated quasi-Poisson factor model.

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

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