Efrat Muller

will give a presentation on :

Integration of Multi-omics Data

Abstract:

The human gut microbiome, and its metabolic activity in particular, have been implicated in a wide range of disease states, including metabolic disorders, inflammatory bowel diseases, and colorectal cancer. This growing appreciation for the impact of the gut microbiome’s metabolism on human health has given rise to studies that generate both microbiome and metabolome high-throughput data from human gut microbiome samples. Truly integrated analysis of both omic datasets, however, remains a challenging task.
In this talk, I will introduce the domain of human microbiome research, present the concept of multi-omic studies (e.g., combining metagenomics with metabolomics), and briefly discuss the common practices and open challenges in multi-omic data integration. I'll then present my latest research project, in which we developed a framework for identifying “multi-omic modules” that capture both cross-omic associations and associations with disease simultaneously, based on extensions of Canonical Correlation Analysis.

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