Discovering possible context dependences around SNP sites in human genes with Bayesian network learning

@article{Ma2004DiscoveringPC,
  title={Discovering possible context dependences around SNP sites in human genes with Bayesian network learning},
  author={Xi Ma and Jun Cai and Wei Hu and Yimin Zhang and Yanda Li and Xuegong Zhang},
  journal={ICARCV 2004 8th Control, Automation, Robotics and Vision Conference, 2004.},
  year={2004},
  volume={2},
  pages={1315-1319 Vol. 2}
}
Single nucleotide polymorphisms (SNPs) are loci on the genome where different alleles are observed in the population. It has been observed that there might be some patterns or context dependences in the sequence segments adjacent to SNPs sites. Discovering such dependences is very important for understanding possible origins of SNPs in evolution. We collected 519,767 bi-allelic SNPs of human in gene regions from HGBASE and separated them in 6 groups according to the types of alleles at the SNP… CONTINUE READING

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