Improvement in the prediction power of an astrocyte genome-scale metabolic model using multi-omic data

Improvement in the prediction power of an astrocyte genome-scale metabolic model using multi-omic data

IntroductionThe availability of large-scale multi-omic data has revolution-ized the study of cellular machinery, enabling a systematic understanding of biological processes. However, the integration of these datasets into Genome-Scale Models of Metabolism (GEMs) re-mains underexplored. Existing meth...

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Bibliographic Details
Main Authors: Andrea Angarita-Rodríguez, Nicolás Mendoza-Mejía, Janneth González, Jason Papin, Andrés Felipe Aristizábal, Andrés Pinzón
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-01-01
Series:Frontiers in Systems Biology
Subjects:
genome-scale metabolic models
transcriptome
proteome
dimensional reduction
astrocyte
Online Access:https://www.frontiersin.org/articles/10.3389/fsysb.2024.1500710/full
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https://www.frontiersin.org/articles/10.3389/fsysb.2024.1500710/full

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