Multiple sequence analysis of hidden Markov model
Lihong Song · Computer Engineering and Applications Journal · 2010
A new multiple sequence alignment about Hidden Markov Models(HMMs) is researched,using the conservative feature of L value and consensus sequence,by increasing frequency factor,traditional HMMs learning algorithm is improved.Experiment indicates that not only the stability of the model is improved,but also a average improvement of 3.3% is achieved for protein family recognition by comparing the new algorithm with the traditional one.