| 基于关联规则与遗传算法的蛋白质二级结构预测 |
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| 引用本文： | 邹先霞,陈孝卫,许龙飞.基于关联规则与遗传算法的蛋白质二级结构预测[J].计算机工程与应用,2006,42(15):152-155,224. |
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| 作者姓名： | 邹先霞 陈孝卫 许龙飞 |
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| 作者单位： | 暨南大学计算机科学系,广州,510632 |
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| 基金项目： | 中国科学院资助项目;广东省博士启动基金 |
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| 摘 要： | 文章通过建立蛋白质二级结构预测的数学模型,运用挖掘与遗传算法相结合的关联规则技术对蛋白质二级结构进行预测,设计并实现了该原型系统。实验表明,该文所采用的基于蛋白质氨基酸疏水性周期规律的预测模型方法较其它相关的二级结构预测方法有较好的准确性、有效性与可行性。
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| 关 键 词： | 遗传算法 蛋白质 氨基酸序列 关联规则 数据挖掘 |
| 文章编号： | 1002-8331-（2006）15-0152-04 |
| 收稿时间： | 2005-12 |
| 修稿时间： | 2005-12 |
Protein Secondary Structure Prediction Based on Association Rules and Genetic Algorithm |
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| Zou Xianxia,Chen Xiaowei,Xu Longfei.Protein Secondary Structure Prediction Based on Association Rules and Genetic Algorithm[J].Computer Engineering and Applications,2006,42(15):152-155,224. |
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| Authors: | Zou Xianxia Chen Xiaowei Xu Longfei |
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| Affiliation: | Department of Computer Science,Jinan University,Guangzhou 510632 |
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| Abstract: | The paper builds a mathematical model of predicting Protein Secondary structure.Protein Secondary structure is predicted using combination of Genetic Algorithm and Association Rules techniques and its prototype system is designed and realized.The experiment results indicate that the degree of accuracy of prediction results achieves basically desired target and it produces better prediction results than that of the other methods. |
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| Keywords: | Genetic Algorithm protein amino acids sequences association rules data mining |
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