DNA-based fixed gain amplifiers and linear classifier circuits
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), ISSN: 0302-9743, Vol: 6518 LNCS, Page: 176-186
2011
- 29Citations
- 34Captures
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Conference Paper Description
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. © 2011 Springer-Verlag.
Bibliographic Details
http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=79251588725&origin=inward; http://dx.doi.org/10.1007/978-3-642-18305-8_16; http://link.springer.com/10.1007/978-3-642-18305-8_16; http://link.springer.com/content/pdf/10.1007/978-3-642-18305-8_16; https://dx.doi.org/10.1007/978-3-642-18305-8_16; https://link.springer.com/chapter/10.1007/978-3-642-18305-8_16
Springer Nature
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