| 基于EFICA的AD微阵列数据基因网络分析 |
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| 引用本文： | 孔薇,宋红胜.基于EFICA的AD微阵列数据基因网络分析[J].安徽大学学报(自然科学版),2012(4):89-96. |
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| 作者姓名： | 孔薇 宋红胜 |
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| 作者单位： | 上海海事大学信息工程学院 |
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| 基金项目： | 国家自然科学基金资助项目(60801060);上海市教委科研创新资助项目(11YZ141);上海市科委青年科技启明星计划(A类)(11QA1402900);上海海事大学校基金资助项目(20090125) |
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| 摘 要： | 将EFICA(Efficient Variant of Algorithm FastICA)方法与基因网络相结合分析一组阿尔茨海默病(AD)微阵列数据.根据分类结果提取特征基因集并探寻与早期AD相关的基因网络,实验结果表明,EFICA方法比传统的Fastica方法能够获得更好的分类效果.并且通过对基因网络的研究,扩展了EFICA在生物信息学中的应用,为AD疾病的进一步研究提供新思路.
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| 关 键 词： | 阿尔茨海默症 高效快速独立成分分析 基因网络 Cytoscape |
Gene network analysis of AD microarray data based on EFICA |
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| KONG Wei,SONG Hong-sheng.Gene network analysis of AD microarray data based on EFICA[J].Journal of Anhui University(Natural Sciences),2012(4):89-96. |
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| Authors: | KONG Wei SONG Hong-sheng |
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| Institution: | (College of Information Engineering,Shanghai Maritime University,Shanghai 201306,China) |
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| Abstract: | Method Efficient Variant of Algorithm FastICA was ambined with gene network to analyze Alzheimer’s disease(AD) microarray data.Characteristics genes were extracted by the classifying results and related incipient AD gene network was explored.The results showed that the classification method based on EFICA was efficient for based on traditional FastICA.And according to the research on gene network,the application of EFICA in bioinformatics was concerned,and a new thought for studies of AD was provided. |
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| Keywords: | Alzheimer’s disease Efficient FastICA gene network Cytoscape |
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