Nonlinear machine learning pattern recognition and bacteria-metabolite multilayer network analysis of perturbed gastric microbiome

Drug use or bacterial infection can cause significant alterations of gastric microbiome. Here, the authors show how advanced pattern recognition by nonlinear machine intelligence can help disclose a bacteria-metabolite network which enlightens mechanisms behind such perturbations.

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Autores principales: Claudio Durán, Sara Ciucci, Alessandra Palladini, Umer Z. Ijaz, Antonio G. Zippo, Francesco Paroni Sterbini, Luca Masucci, Giovanni Cammarota, Gianluca Ianiro, Pirjo Spuul, Michael Schroeder, Stephan W. Grill, Bryony N. Parsons, D. Mark Pritchard, Brunella Posteraro, Maurizio Sanguinetti, Giovanni Gasbarrini, Antonio Gasbarrini, Carlo Vittorio Cannistraci
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Publicado: Nature Portfolio 2021
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Acceso en línea:https://doaj.org/article/1a4e3dda819d41df95b04fd64ec82e28
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spelling oai:doaj.org-article:1a4e3dda819d41df95b04fd64ec82e282021-12-02T13:24:22ZNonlinear machine learning pattern recognition and bacteria-metabolite multilayer network analysis of perturbed gastric microbiome10.1038/s41467-021-22135-x2041-1723https://doaj.org/article/1a4e3dda819d41df95b04fd64ec82e282021-03-01T00:00:00Zhttps://doi.org/10.1038/s41467-021-22135-xhttps://doaj.org/toc/2041-1723Drug use or bacterial infection can cause significant alterations of gastric microbiome. Here, the authors show how advanced pattern recognition by nonlinear machine intelligence can help disclose a bacteria-metabolite network which enlightens mechanisms behind such perturbations.Claudio DuránSara CiucciAlessandra PalladiniUmer Z. IjazAntonio G. ZippoFrancesco Paroni SterbiniLuca MasucciGiovanni CammarotaGianluca IaniroPirjo SpuulMichael SchroederStephan W. GrillBryony N. ParsonsD. Mark PritchardBrunella PosteraroMaurizio SanguinettiGiovanni GasbarriniAntonio GasbarriniCarlo Vittorio CannistraciNature PortfolioarticleScienceQENNature Communications, Vol 12, Iss 1, Pp 1-22 (2021)
institution DOAJ
collection DOAJ
language EN
topic Science
Q
spellingShingle Science
Q
Claudio Durán
Sara Ciucci
Alessandra Palladini
Umer Z. Ijaz
Antonio G. Zippo
Francesco Paroni Sterbini
Luca Masucci
Giovanni Cammarota
Gianluca Ianiro
Pirjo Spuul
Michael Schroeder
Stephan W. Grill
Bryony N. Parsons
D. Mark Pritchard
Brunella Posteraro
Maurizio Sanguinetti
Giovanni Gasbarrini
Antonio Gasbarrini
Carlo Vittorio Cannistraci
Nonlinear machine learning pattern recognition and bacteria-metabolite multilayer network analysis of perturbed gastric microbiome
description Drug use or bacterial infection can cause significant alterations of gastric microbiome. Here, the authors show how advanced pattern recognition by nonlinear machine intelligence can help disclose a bacteria-metabolite network which enlightens mechanisms behind such perturbations.
format article
author Claudio Durán
Sara Ciucci
Alessandra Palladini
Umer Z. Ijaz
Antonio G. Zippo
Francesco Paroni Sterbini
Luca Masucci
Giovanni Cammarota
Gianluca Ianiro
Pirjo Spuul
Michael Schroeder
Stephan W. Grill
Bryony N. Parsons
D. Mark Pritchard
Brunella Posteraro
Maurizio Sanguinetti
Giovanni Gasbarrini
Antonio Gasbarrini
Carlo Vittorio Cannistraci
author_facet Claudio Durán
Sara Ciucci
Alessandra Palladini
Umer Z. Ijaz
Antonio G. Zippo
Francesco Paroni Sterbini
Luca Masucci
Giovanni Cammarota
Gianluca Ianiro
Pirjo Spuul
Michael Schroeder
Stephan W. Grill
Bryony N. Parsons
D. Mark Pritchard
Brunella Posteraro
Maurizio Sanguinetti
Giovanni Gasbarrini
Antonio Gasbarrini
Carlo Vittorio Cannistraci
author_sort Claudio Durán
title Nonlinear machine learning pattern recognition and bacteria-metabolite multilayer network analysis of perturbed gastric microbiome
title_short Nonlinear machine learning pattern recognition and bacteria-metabolite multilayer network analysis of perturbed gastric microbiome
title_full Nonlinear machine learning pattern recognition and bacteria-metabolite multilayer network analysis of perturbed gastric microbiome
title_fullStr Nonlinear machine learning pattern recognition and bacteria-metabolite multilayer network analysis of perturbed gastric microbiome
title_full_unstemmed Nonlinear machine learning pattern recognition and bacteria-metabolite multilayer network analysis of perturbed gastric microbiome
title_sort nonlinear machine learning pattern recognition and bacteria-metabolite multilayer network analysis of perturbed gastric microbiome
publisher Nature Portfolio
publishDate 2021
url https://doaj.org/article/1a4e3dda819d41df95b04fd64ec82e28
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