FIGURE 3. Biological network elucidation by a model-centric approach.
From the following article:
Integrating high-throughput and computational data elucidates bacterial networks
Markus W. Covert, Eric M. Knight, Jennifer L. Reed, Markus J. Herrgard and Bernhard O. Palsson
Nature 429, 92-96(6 May 2004)
doi:10.1038/nature02456
Metabolic and regulatory networks may be expanded by using high-throughput phenotyping and gene expression data coupled with the predictions of a computational model. If model predictions are consistent with experimental observations, the network is adequately characterized. If not, the model identifies a knowledge gap and may be used to update, validate and generate hypotheses about organism function. Accuracy refers to the percentage of model predictions that agree with experimental data; coverage indicates the percentage of experimental changes predicted correctly by the model.
