Robustness in Gene Circuits: Clustering of Functional Responses
| dc.creator | Dunlop, Mary J. | |
| dc.creator | Wall, Michael E. | |
| dc.date | 2005-03-01 | |
| dc.date.accessioned | 2026-07-07T05:59:08Z | |
| dc.date.available | 2026-07-07T05:59:08Z | |
| dc.description | In contrast to engineering applications, in which the structure of control laws are designed to satisfy prescribed function requirements, in biology it is often necessary to infer gene-circuit function from incomplete data on gene-circuit structure. By using the feed-forward loop as a model system, this paper introduces a technique for classifying gene-circuit function given gene-circuit structure. In simulations performed on a comprehensive set of models that span a broad range of parameter space, some designs are robust, producing one unique type of functional response regardless of parameter selection. Other designs may exhibit a variety of functional responses, depending upon parameter values. We conclude that, although some feed-forward loop models have designs that lend themselves to unique function inference, others have designs for which the function type may be uncertain. | |
| dc.description | 6 pages, 7 figures, American Control Conference 2005 | |
| dc.identifier | https://arxiv.org/abs/q-bio/0503005 | |
| dc.identifier | http://arxiv.org/abs/q-bio/0503005 | |
| dc.identifier.uri | http://salesiana.dossiersoluciones.com/handle/123456789/88565 | |
| dc.subject | Molecular Networks | |
| dc.title | Robustness in Gene Circuits: Clustering of Functional Responses | |
| dc.type | text |