Abstract Background Predicting and proper ranking of canonical splice sites (SSs) is a challenging problem in bioinformatics and machine learning communities. Any progress in SSs recognition will lead to better understanding of splicing mechanism. We introduce several new approaches of combining a priori knowledge for improved SS detection. https://www.aitsglobal.com/product-category/%d7%97%d7%a4%d7%a6%d7%99-%d7%90%d7%95%d7%9e%d7%a0%d7%95%d7%aa/