Published 2011
| public
Book Section - Chapter
DNA-Based Fixed Gain Amplifiers and Linear Classifier Circuits
- Creators
- Zhang, David Yu
- Seelig, Georg
- Others:
- Sakakibara, Yasubumi
- Mi, Y.
Abstract
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.
Additional Information
© 2011 Springer-Verlag Berlin Heidelberg. DYZ is supported by the Fannie and John Hertz Foundation. GS is supported by a Career Award at the Scientific Interface from the Burroughs Wellcome Fund and an NSF CAREER award.Additional details
- Eprint ID
- 27113
- DOI
- 10.1007/978-3-642-18305-8_16
- Resolver ID
- CaltechAUTHORS:20111006-083039035
- Fannie and John Hertz Foundation
- Burroughs Wellcome Fund Career Award at the Scientific Interface
- NSF CAREER Award
- Created
-
2011-10-06Created from EPrint's datestamp field
- Updated
-
2021-11-09Created from EPrint's last_modified field
- Series Name
- Lecture Notes in Computer Science
- Series Volume or Issue Number
- 6518