Non-linear molecular pattern classification using molecular beacons with multiple targets
- Authors
- Lee, In-hee; LEE, SEUNG HWAN; Park, Tai Hyun; Zhang, 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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