<p>Modeling recovery of Crohn&apos;s disease, by simulating microbial community dynamics under perturbations</p>

Jorge Carrasco; Beatriz García-Jiménez; Mark D. Wilkinson

doi:10.7490/f1000research.1117333.1

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Carrasco J, García-Jiménez B and Wilkinson MD. Modeling recovery of Crohn's disease, by simulating microbial community dynamics under perturbations [version 1; not peer reviewed]. F1000Research 2019, 8(ISCB Comm J):1418 (slides) (https://doi.org/10.7490/f1000research.1117333.1)

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Modeling recovery of Crohn's disease, by simulating microbial community dynamics under perturbations

Jorge Carrasco, Beatriz García-Jiménez¹, Mark D. Wilkinson

Published 12 Aug 2019 (https://doi.org/10.7490/f1000research.1117333.1)

Author Affiliations

¹ Centre for Plant Biotechnology and Genomics UPM – INIA, Universidad Politécnica de Madrid, Spain

Copyright © 2019 Carrasco J et al. This is an open access work distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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CITE

Published 12 Aug 2019

Modeling recovery of Crohn's disease, by simulating microbial community dynamics under perturbations
[version 1; not peer reviewed]

Jorge Carrasco, Beatriz García-Jiménez¹, Mark D. Wilkinson

Author Affiliations

¹ Centre for Plant Biotechnology and Genomics UPM – INIA, Universidad Politécnica de Madrid, Spain

Presented at

ISMB/ECCB 2019

Abstract

Competing Interests

No competing interests were disclosed

Keywords

microbial community, microbiome, genome-scale metabolic model, dynamics, longitudinal microbiome, perturbations, modeling, Artificial Intelligence, Markov Decision processes (MDP)

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