Solving MEC and MEC/GI Problem Models, Using Information Fusion and Multiple Classifiers

@article{Asgarian2007SolvingMA,
  title={Solving MEC and MEC/GI Problem Models, Using Information Fusion and Multiple Classifiers},
  author={Ehsan Asgarian and M.-H. Moeinzadeh and Javad Mohammadzadeh and Ali Ghazinezhad and Jaffar Habibi and Amir Najafi-Ardabili},
  journal={2007 Innovations in Information Technologies (IIT)},
  year={2007},
  pages={397-401}
}
Mutations in single nucleotide polymorphisms (SNPs - different variant positions (1%) from human genomes) are responsible for some genetic diseases. As a consequence, obtaining all SNPs from human populations is one of the primary goals of recent studies in human genomics. Two sequences of mentioned SNPs in diploid human organisms are called haplotypes. In this paper, we study haplotype reconstruction from SNP-fragments with and without genotype information, problems. Designing serial and… CONTINUE READING