Modelling reliable metabolic phenotypes by analysing the context-specific transcriptomics data
Abstract Genome-scale metabolic models (GEMs) are valuable tools for investigating healthy and disease states, but often lack the specificity to capture context-dependent metabolic adaptations. Tailoring GEMs using transcriptomic data is crucial for studying these context-specific variations by accu...
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| Auteurs principaux: | , |
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| Format: | Artigo |
| Langue: | Inglês |
| Publié: |
Nature Portfolio
2025-12-01
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| Collection: | npj Systems Biology and Applications |
| Accès en ligne: | https://doi.org/10.1038/s41540-025-00617-8 |
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