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A design method of DNA chips using hierarchical self-organizing maps
- Source :
- Proceedings of the 9th International Conference on Neural Information Processing, 2002. ICONIP '02..
- Publication Year :
- 2002
- Publisher :
- IEEE, 2002.
-
Abstract
- We introduce a design method of DNA chips using self organizing maps (SOM) and hierarchical self-organizing maps (H-SOM). DNA chips are powerful tools for sequencings and SNP (single nucleotide polymorphism) analyses of DNA sequences. A DNA chip is an array of DNA probes which can be hybridized with complement subsequences in the target sequence. However, conventional DNA chips are showing tendency to be comprised of large number of long probes and get large in size to achieve high resolution. To shrink the size of DNA chips, design method is considered to be important. To solve this problem, we applied SOM to extract common features of DNA sequences using proper number of probes which efficiently cover the target sequence with sufficient resolutions. Furthermore, H-SOM can design the chip comprised of long probes more efficiently than SOM. We have designed some DNA chips from the sequence data in genome database using our SOM and H-SOM algorithm and evaluated the chips by computer simulations of SNP analyses.
- Subjects :
- Self-organizing map
Sequence
business.industry
Computer science
Hybridization probe
Pattern recognition
Single-nucleotide polymorphism
Bioinformatics
DNA sequencing
chemistry.chemical_compound
ComputingMethodologies_PATTERNRECOGNITION
chemistry
A-DNA
Artificial intelligence
DNA microarray
business
DNA
Subjects
Details
- Database :
- OpenAIRE
- Journal :
- Proceedings of the 9th International Conference on Neural Information Processing, 2002. ICONIP '02.
- Accession number :
- edsair.doi...........9270ae02abf110587006298c8afb1f4d
- Full Text :
- https://doi.org/10.1109/iconip.2002.1201892