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Non-linear molecular pattern classification using molecular beacons with multiple targets

Authors
Lee, In-heeLEE, SEUNG HWANPark, Tai HyunZhang, Byoungtak
Issue Date
Dec-2013
Publisher
ELSEVIER SCI LTD
Keywords
Biological data analysis; DNA computing; Molecular beacons; Molecular pattern classification; Non-linear classification
Citation
BIOSYSTEMS, v.114, no.3, pp.206 - 213
Indexed
SCIE
SCOPUS
Journal Title
BIOSYSTEMS
Volume
114
Number
3
Start Page
206
End Page
213
URI
https://scholarworks.bwise.kr/erica/handle/2021.sw.erica/26247
DOI
10.1016/j.biosystems.2013.05.008
ISSN
0303-2647
Abstract
In vitro pattern classification has been highlighted as an important future application of DNA computing. Previous work has demonstrated the feasibility of linear classifiers using DNA-based molecular computing. However, complex tasks require non-linear classification capability. Here we design a molecular beacon that can interact with multiple targets and experimentally shows that its fluorescent signals form a complex radial-basis function, enabling it to be used as a building block for non-linear molecular classification in vitro. The proposed method was successfully applied to solving artificial and real-world classification problems: XOR and microRNA expression patterns. © 2013 Elsevier Ireland Ltd.
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ERICA 공학대학 (DEPARTMENT OF BIONANO ENGINEERING)
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