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预测Motifs算法的改进评价策略

张斐

计算机与数字工程2018,Vol.46Issue(5):879-884,6.
计算机与数字工程2018,Vol.46Issue(5):879-884,6.DOI:10.3969/j.issn.1672-9722.2018.05.007

预测Motifs算法的改进评价策略

An Improved Strategy to Evaluate Algorithm of Forecasting Motifs

张斐1

作者信息

  • 1. 陕西警官职业学院警察技术系 西安710021
  • 折叠

摘要

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.

关键词

Motifs预测/算法比较/评价策略

Key words

Motifs finding/algorithm comparing/evaluation strategy

分类

信息技术与安全科学

引用本文复制引用

张斐..预测Motifs算法的改进评价策略[J].计算机与数字工程,2018,46(5):879-884,6.

基金项目

国家自然科学基金项目(编号:61601107)资助. (编号:61601107)

计算机与数字工程

OACSTPCD

1672-9722

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