Signal analysis on strings for immune-type pattern recognition
2004
Signal Analysis for Immune-Type Pattern Recognition
publication
Evidence: moderate
Author Information
Author(s): Nikolaos D. Atreas, Costas Karanikas, Persefoni Polychronidou
Primary Institution: Aristotle University of Thessaloniki
Conclusion
New mathematical methods for analyzing biological data can enhance bioinformatics applications.
Supporting Evidence
- The immune system is an effective pattern recognition system that can detect local particularities and diversity.
- New discrete transforms can model the recognition capabilities of the immune system.
- Mathematical methods can provide a new era for bioinformatics.
Takeaway
This study shows how math can help us understand how our immune system recognizes viruses by analyzing patterns in data.
Methodology
The study uses wavelet-type discrete transforms for signal analysis on strings and applies these for edge detection and hidden Markov process detection.
Digital Object Identifier (DOI)
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