Polyadenylation site prediction using PolyA-iEP method

I. Kavakiotis, G. Tzanis, I. Vlahavas, “Polyadenylation site prediction using PolyA-iEP method”, Polyadenylation Method and Protocols, Joanna Rorbach and Agnieszka Bobrowicz (Eds.), Springer, Methods In Molecular Biology, 1125, pp. 131-140, 2014.

Polyadenylation Method and Protocols, Joanna Rorbach and Agnieszka Bobrowicz (Eds.), Springer, Methods In Molecular Biology, 1125, pp. 131-140, 2014.

Data Mining, Machine Learning, Classification, Emerging Patterns, Bioinformatics, Polyadenylation.

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.