6 research outputs found
Prediction of donor splice sites using random forest with a new sequence encoding approach
Full text linkNew Methods for Splice Site Recognition
No full textModelling 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
