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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
  • 29
    Citations
  • 0
    Usage
  • 34
    Captures
  • 0
    Mentions
  • 0
    Social Media
Metric Options:   Counts1 Year3 Year

Metrics Details

  • Citations
    29
    • Citation Indexes
      29
  • Captures
    34

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.

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