Article
Choosing SNPs using feature selection.
Proceedings. IEEE Computational Systems Bioinformatics Conference - 1 Jan 2005
Phuong Tu Minh, Lin Zhen, Altman Russ B
Abstract excerpt
A major challenge for genomewide disease association studies is the high cost of genotyping large number of single nucleotide polymorphisms (SNP). The correlations between SNPs, however, make it possible to select a parsimonious set of informative SNPs, known as "tagging" SNPs, able to capture most variation in a population. Considerable research interest has recently focused on the development of methods for...
Topics
- Artificial Intelligence
- Base Sequence
- Chromosome Aberrations
- Chromosome Mapping
- Chromosomes, Human, Pair 21
- DNA Mutational Analysis
- Humans
- Linkage Disequilibrium
- Molecular Sequence Data
- Pattern Recognition, Automated
- Polymorphism, Single Nucleotide
