Analysis of binary feature mapping rules for promoter recognition in imbalanced DNA sequence datasets using Support Vector Machine

@article{Damaeviius2008AnalysisOB,
  title={Analysis of binary feature mapping rules for promoter recognition in imbalanced DNA sequence datasets using Support Vector Machine},
  author={Robertas Dama{\vs}evi{\vc}ius},
  journal={2008 4th International IEEE Conference Intelligent Systems},
  year={2008},
  volume={2},
  pages={11-20-11-25}
}
Recognition of specific functionally-important DNA sequence fragments is considered one of the most important problems in bioinformatics. One type of such fragments are promoters, i.e., short regulatory DNA sequences located upstream of a gene. Detection of promoters in DNA sequences is important for successful gene prediction. In this paper, a machine learning method, called support vector machine (SVM), is used for classification of DNA sequences and promoter recognition. For optimal… CONTINUE READING