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- Title
Functional integration of a metabolic network model and expression data without arbitrary thresholding.
- Authors
Jensen, Paul A; Papin, Jason A
- Abstract
Flux balance analysis (FBA) has been used extensively to analyze genome-scale, constraint-based models of metabolism in a variety of organisms. The predictive accuracy of such models has recently been improved through the integration of high-throughput expression profiles of metabolic genes and proteins. However, extensions of FBA often require that such data be discretized a priori into sets of genes or proteins that are either 'on' or 'off'. This procedure requires selecting relatively subjective expression thresholds, often requiring several iterations and refinements to capture the expression dynamics and retain model functionality.
- Publication
Bioinformatics (Oxford, England), 2011, Vol 27, Issue 4, p541
- ISSN
1367-4811
- Publication type
Journal Article
- DOI
10.1093/bioinformatics/btq702