New Methods for Splice Site Recognition

Abstract

Modelling splice sites is considered a dicult task, and as of this writing, the procedure of splicing is still not well understood. We combine successful discriminative learners like Support Vector Machines (SVM) and descriptive learners like Hidden Markov Models (HMMs) to separate true splice sites from decoys