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Biosystems. 2013 Dec;114(3):206-13. doi: 10.1016/j.biosystems.2013.05.008. Epub 2013 Jun 3.

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

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  • 1School of Computer Science and Engineering, Seoul National University, 599 Gwanak-ro, Gwanak-gu, Seoul 151-742, Republic of Korea.

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.

Copyright © 2013 Elsevier Ireland Ltd. All rights reserved.

KEYWORDS:

Biological data analysis; DNA computing; Molecular beacons; Molecular pattern classification; Non-linear classification

[PubMed - indexed for MEDLINE]
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