DNA-Based Fixed Gain Amplifiers and Linear Classifier Circuits
- Cite this paper as:
- Zhang D.Y., Seelig G. (2011) DNA-Based Fixed Gain Amplifiers and Linear Classifier Circuits. In: Sakakibara Y., Mi Y. (eds) DNA Computing and Molecular Programming. DNA 2010. Lecture Notes in Computer Science, vol 6518. Springer, Berlin, Heidelberg
DNA catalysts have been developed as methods of amplifying single-stranded nucleic acid signals. The maximum turnover (gain) of these systems, however, often varies based on strand and complex purities, and has so far not been well-controlled. Here we introduce methods for controlling the asymptotic turnover of strand displacement-based DNA catalysts and show how these could be used to construct linear classifier systems.
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