Paper Details

  • Title:

    Polyadenylation site prediction using PolyA-iEP method

  • Author(s):

    I. Kavakiotis, G. Tzanis, I. Vlahavas

  • Keywords: Data Mining, Machine Learning, Classification, Emerging Patterns, Bioinformatics, Polyadenylation.
  • Abstract:

    This chapter presents a method called PolyA-iEP that has been developed for the prediction of polyadenylation sites. More precisely PolyA-iEP is a method that recognizes mRNA 3’ends which contain polyadenylation sites. It is a modular system which consists of two main components. The first exploits the advantages of emerging patters and the second is a distance-based scoring method. The outputs of the two components are finally combined by a classifier. The final results reach very high scores of sensitivity and specificity.

  • Category: Book Chapters
  • Tags: 2014 Kavakiotis Tzanis Vlahavas