An Improved Strategy to Evaluate Algorithm of Forecasting Motifs
ZHANG Fei
Abstract：This paper aims at the evaluation on the data of different motif prediction algorithms,the optimization of traditional algorithms and the development of a new evaluation strategy.The key of this experiment is to develop the evaluation strategies of dif-ferent prediction.Through the comparison of MEME algorithm and PKGE algorithm,the sensitivity and specificity of motifs in the same family and their corresponding ROC curves,the true motifs is determined and then the best motifs model of the protein family is obtained.The results show that the evaluation strategy can be applied to evaluate the results of motifs prediction in protein family and to predict the other motifs in protein family by the best motif database.
Keywords：Motifs findingalgorithm comparingevaluation strategy
Publication Date：2018-01-01
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：6( 879-884 )