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,...)

Package details

AuthorDaniel Hartleb
MaintainerDaniel Hartleb <[email protected]>
Package repositoryView on CRAN
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GlobalFit documentation built on May 29, 2017, 5:59 p.m.