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sybilEFBA (version 1.0.2)

Using Gene Expression Data to Improve Flux Balance Analysis Predictions

Description

Three different approaches to use gene expression data (or protein measurements) for improving FBA predictions.

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Version

Install

install.packages('sybilEFBA')

Monthly Downloads

3

Version

1.0.2

License

GPL-3

Maintainer

Abdelmoneim Amer Desouki

Last Published

February 16th, 2015

Functions in sybilEFBA (1.0.2)

sybilEFBA-package

Use gene expression data to improve Flux Balance Analysis predictions
iMM904

Saccharomyces cerevisiae Metabolic Model
gene2Rule

get reaction expression state from gene expression
iAF1260

Escherichia coli Metabolic Model iAF1260
eFBA_gene

Function: eFBA
findMDCFlux

find Manhaten-Distance-Closest Flux
eFBA_rxn

Function: eFBA
findFluxGeneExpr

function to find minimum set of required genes to get a given flux distribution
iND750

Saccharomyces cerevisiae Metabolic Model iND750
FECorr

Function: FECorr: Flux Expression Correlation