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Published in:
2011 | OriginalPaper | Chapter
DNA-Based Fixed Gain Amplifiers and Linear Classifier Circuits
Authors : David Yu Zhang, Georg Seelig
Published in: DNA Computing and Molecular Programming
Publisher: Springer Berlin Heidelberg
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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.