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GlobalFit  

Bi-Level Optimization of Metabolic Network Models
View on CRAN: Click here


Download and install GlobalFit package within the R console
Install from CRAN:
install.packages("GlobalFit")

Install from Github:
library("remotes")
install_github("cran/GlobalFit")

Install by package version:
library("remotes")
install_version("GlobalFit", "1.2")



Attach the package and use:
library("GlobalFit")
Maintained by
Daniel Hartleb
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2015-04-29
Latest Update: 2022-11-20
Description:
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...
How to cite:
Daniel Hartleb (2015). GlobalFit: Bi-Level Optimization of Metabolic Network Models. R package version 1.2, https://cran.r-project.org/web/packages/GlobalFit. Accessed 28 Jan. 2025.
Previous versions and publish date:
1.0 (2015-04-29 11:39), 1.1 (2016-03-31 21:12), 1.2 (2016-08-12 12:36)
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Functions, R codes and Examples using the GlobalFit R package
Full GlobalFit package functions and examples
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