Cargando…
Predicting metabolic fluxes from omics data via machine learning: Moving from knowledge-driven towards data-driven approaches
The accurate prediction of phenotypes in microorganisms is a main challenge for systems biology. Genome-scale models (GEMs) are a widely used mathematical formalism for predicting metabolic fluxes using constraint-based modeling methods such as flux balance analysis (FBA). However, they require prio...
| Autores principales: | , , |
|---|---|
| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Research Network of Computational and Structural Biotechnology
2023
|
| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10590844/ https://www.ncbi.nlm.nih.gov/pubmed/37876626 http://dx.doi.org/10.1016/j.csbj.2023.10.002 |