Machine learning, Bacteria-metabolite and Perturbed Gastric Microbiome

Targeting Microbiota 2021 Carlo Vittorio CannistraciWe are honoured to announce that Dr. Carlo V. Cannistraci from Tsinghua University, China will be joining the Targeting Microbiota 2021 Congress which will be held on October 22-23, 2021.

Dr. Carlo V. Cannistraci will give a presentation entitled "Nonlinear machine learning pattern recognition and bacteria-metabolite multilayer network analysis of perturbed gastric microbiome".

Summary of talk: The stomach is inhabited by diverse microbial communities, co-existing in a dynamic balance. Long-term use of drugs such as proton pump inhibitors (PPIs), or bacterial infection such as Helicobacter pylori, cause significant microbial alterations. Yet, studies revealing how the commensal bacteria re-organize, due to these perturbations of the gastric environment, are in early phase and rely principally on linear techniques for multivariate analysis. In this talk, we disclose the importance of complementing linear dimensionality reduction techniques with nonlinear ones to unveil hidden patterns that remain unseen by linear embedding. Then, we prove the advantages to complete multivariate pattern analysis with differential network analysis, to reveal mechanisms of bacterial network re-organizations which emerge from perturbations induced by a medical treatment (PPIs) or an infectious state (H. pylori). Finally, we show how to build bacteria-metabolite multilayer networks that can deepen our understanding of the metabolite pathways significantly associated to the perturbed microbial communities.

Targeting Microbiota 2021 Congress
October 20-22, 2021

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