Name
Title | ||
|---|---|---|
Non-linear molecular pattern classification using molecular beacons with multiple targets. |
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. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1016/j.biosystems.2013.05.008 | Biosystems |
Keywords | Field | DocType |
DNA computing,Molecular pattern classification,Non-linear classification,Molecular beacons,Biological data analysis | Molecular beacon,Nonlinear system,Biology,DNA,Artificial intelligence,Computational biology,Machine learning,DNA computing | Journal |
Volume | Issue | ISSN |
114 | 3 | 0303-2647 |
Citations | PageRank | References |
0 | 0.34 | 5 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| In-Hee Lee | 1 | 128 | 10.10 |
| Seung-Hwan Lee | 2 | 77 | 18.94 |
| Tai Hyun Park | 3 | 32 | 4.34 |
| Byoung-Tak Zhang | 4 | 1571 | 158.56 |