GlobalFit: Bi-Level Optimization of Metabolic Network Models
Initial metabolic networks often inaccurately predict in-silico growth or non-growth if compared to in-vivo data. This package refines metabolic network models by making networks changes (i.e., removing, adding, changing reversibility of reactions; adding and removing biomass metabolites) and simultaneously matching sets of experimental growth and non-growth data (e.g., KO-mutants, mutants grown under different media conditions,...)
| Version: |
1.2 |
| Depends: |
R (≥ 2.12.0), sybil (≥ 1.1.7), methods |
| Suggests: |
cplexAPI (≥ 1.2.1) |
| Published: |
2016-08-12 |
| Author: |
Daniel Hartleb |
| Maintainer: |
Daniel Hartleb <daniel.hartleb at hhu.de> |
| License: |
GPL-3 |
| NeedsCompilation: |
no |
| CRAN checks: |
GlobalFit results |
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