Dynamic Bayesian Networks for Integrating Multi-omics Time Series Microbiome Data

A key challenge in the analysis of longitudinal microbiome data is the inference of temporal interactions between microbial taxa, their genes, the metabolites that they consume and produce, and host genes. To address these challenges, we developed a computational pipeline, a pipeline for the analysi...

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Detalles Bibliográficos
Autores principales: Ruiz-Perez, Daniel, Lugo-Martinez, Jose, Bourguignon, Natalia, Mathee, Kalai, Lerner, Betiana, Bar-Joseph, Ziv, Narasimhan, Giri
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Society for Microbiology 2021
Materias:
Methods and Protocols
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8546994/
https://www.ncbi.nlm.nih.gov/pubmed/33785573
http://dx.doi.org/10.1128/mSystems.01105-20

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8546994/
https://www.ncbi.nlm.nih.gov/pubmed/33785573
http://dx.doi.org/10.1128/mSystems.01105-20

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