Based on the mechanism of splice site competition,splice site pairs are divided into competitive splice site pairs and non-competitive splice site pairs,and the classification of competitive and non-competitive splice site pairs is an important task.

Based on the mechanism of splice site competition,splice site pairs are divided into competitive splice site pairs and non-competitive splice site pairs,and the classification of competitive and non-competitive splice site pairs is an important task.

Identification of splice sites based on feature mining and integration;

Splice Site Identification Based on Hidden Markov Support Vector Machines;

Eukaryotic DNA Splice Site Identification Based on the Machine Learning Approach;

Application of Takagi-Sugeno model in the recognition of splice sites;

Rough set-genetic algorithms-k-nearest neighbor and its application in DNA sequence splice sites recognition;

Experimental results show that HMM is good at retrieving the statistical characteristics of consensus sequences around splice sites and the recognition rat.

Secondary structural characteristic of eukaryotic gene splicing sites;

Application of hidden Markov model in the recognition of splicing sites;