fluxPredict: Make predictions from seahorse data by sampling and...
In ramirez-a/seahorseFBA: Integration of Seahorse extracellular flux (XF) measurements into a metabolic model to generate flux predictions
Description
Usage
Arguments
Author(s)
Description
This function integrates the sampled seahorse measurements as constraints into the specified model,
minimizes total flux for each sample, and returns a matrix of reactions x samples where the entries are predicted fluxes.
Usage
1
fluxPredict(model, seahorse_data, biomass_est = 0, cores = 1)
Arguments
model
An object of class modelorg
seahorse_data
A data.frame returned by map_seahorse
biomass_est
Estimated biomass flux. Not required, by may be useful.
cores
The number of cores to use for parallel computing. If cores is greater than 1, a parallel backend
must be registered.
Author(s)
Alfred Ramirez <akram@bu.edu>
ramirez-a/seahorseFBA documentation built on May 26, 2019, 10:14 p.m.
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Description Usage Arguments Author(s)
Description
This function integrates the sampled seahorse measurements as constraints into the specified model, minimizes total flux for each sample, and returns a matrix of reactions x samples where the entries are predicted fluxes.
Usage
1 | fluxPredict(model, seahorse_data, biomass_est = 0, cores = 1)
|
Arguments
model |
An object of class |
seahorse_data |
A data.frame returned by |
biomass_est |
Estimated biomass flux. Not required, by may be useful. |
cores |
The number of cores to use for parallel computing. If cores is greater than 1, a parallel backend must be registered. |
Author(s)
Alfred Ramirez <akram@bu.edu>
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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