Name
Abstract | ||
|---|---|---|
In this paper we consider the problem of representation and measurement in genetic circuits, and investigate how they can affect the reliability of engineered systems. We propose a design scheme, based on the notion of continuous computation, which addresses these issues. We illustrate the methodology by showing how a concept from computer architecture (namely, branch prediction) may be implemented in vivo, using a distributed approach. Simulation results confirm the in-principle feasibility of our method, and offer valuable insights into its future laboratory validation. |
Year | DOI | Venue |
|---|---|---|
2012 | 10.1016/j.biosystems.2012.02.001 | Biosystems |
Keywords | Field | DocType |
Synthetic biology,Computer architecture,Branch prediction | Computer science,Artificial intelligence,Electronic circuit,Gene regulatory network,Machine learning,Branch predictor,Synthetic biology,Engineered Gene,Computation | Journal |
Volume | Issue | ISSN |
109 | 1 | 0303-2647 |
Citations | PageRank | References |
3 | 0.61 | 4 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Ángel Goñi Moreno | 1 | 19 | 5.70 |
| Martyn Amos | 2 | 13 | 1.71 |