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13th International Conference on Membrane Computing - MTA Sztaki

13th International Conference on Membrane Computing - MTA Sztaki

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A case-study <strong>on</strong> the influence of noise to log-gain principles for flux dynamic<br />

discovery<br />

noisy), we must c<strong>on</strong>clude that further work must be d<strong>on</strong>e to modify these loggain<br />

algorithms before they can be applied to data gathered completely from<br />

living cells.<br />

There may, however, be some error present in how we applied noise to the<br />

data. We have very little basis for the decisi<strong>on</strong> to use Gaussian noise, and noise<br />

that more closely resembles data that would be collected in vivo would be much<br />

preferable, and may not break the process quite so easily. That said, the choice to<br />

use Gaussian noise was d<strong>on</strong>e so that our noisy data would more closely resemble<br />

the noiseless test data the log-gain theory has been shown to work <strong>on</strong>. As such,<br />

we nd it unlikely that using a more random or disruptive noise would produce<br />

more favorable results from the log-gain process. Thus, we must <strong>on</strong>ce again<br />

c<strong>on</strong>clude that the log-gain process be further rened before usage in analyzing<br />

data from living cells.<br />

Acknowledgements. The authors acknowledge support in part from NSF CCF-<br />

1116707 and UEFISCDI PNII-TE 92/2010.<br />

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