MFA visualization

Several methods to visualize the calculated fluxes are provided, reshaping the data to fit the input for Escher network visualizations and two different ways to visualize the distribution of sampled fluxes for single reactions and for pathways.

Functions

reshape_fluxes_escher(sampled_fluxes)	Reshapes either a cobra solution object or a pandas Dataframe containing the sampled fluxes for a metabolic model so that they can be visualized in Escher.
sampled_fluxes_minrange(sampled_fluxes, …)	Sometimes the sampled fluxes include very small predicted fluxes for a lot of different reactions.
show_reactions(reactions)	A function to inspect the reactions in a given subset, e.g.
plot_sampled_reaction_fluxes(sampled_fluxes, …)	Plots the distribution of the sampled values for one selected reaction as a histogram and a normal distribution.
plot_all_subsystem_fluxes(sampled_fluxes, …)	Plots the distribution of the sampled values for all reactions in a selected subsytem as a histogram and a normal distribution.
get_subsytem_reactions(model, subsystem_id)	Extracts the names of the reactions in a selected subsytem.
show_subsystems(model)	Prints the names of all the subsystems in the model with their IDs.
plot_subsystem_fluxes(model, sampled_fluxes, …)	Visualizes the distribution of sampled fluxes in a selected subsytem.