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Title: Estimating microbial interaction networks based on microbiome compositional data Authors:  Hongmei Jiang - Northwestern University (United States) [presenting]
Abstract: Microbiome data based on 16S rRNA sequencing are usually summarized as relative abundances in a compositional fashion due to varying sampling/sequencing depths from one sample to another. Characterizing microbial interactions can give us insights into how the microorganisms live and work together as a community in a particular environment. We propose a novel method to estimate multiple different but related microbial interaction networks for high dimensional compositional data across multiple classes. The performance of the proposed method will be investigated by thorough simulation studies and applications to real datasets.