| 组织特异性蛋白质复合体的识别 |
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| 引用本文： | 丁霞,张晓飞,易鸣.组织特异性蛋白质复合体的识别[J].数学杂志,2017,37(5):1093-1100. |
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| 作者姓名： | 丁霞 张晓飞 易鸣 |
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| 作者单位： | 武汉大学数学与统计学院, 湖北武汉 430072,华中师范大学数学与统计学学院, 湖北武汉 430079,华中农业大学理学院, 湖北武汉 430070 |
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| 基金项目： | 国家自然科学基金资助（11275259）；国家自然科学基金资助（91330113）. |
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| 摘 要： | 本文研究了组织特异性蛋白质复合体的识别问题.利用蛋白质相互作用网络数据以及组织特异性基因表达数据构建组织特异性蛋白网络,利用多种代表性聚类算法对该网络进行聚类,并利用非负矩阵分解对聚类结果进行合并聚类,得到了组织特异性蛋白质复合体.结果表明,聚类效果得到明显提升,并且能识别出组织特异性蛋白质复合体.
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| 关 键 词： | 蛋白质相互作用网络 复合体识别 组织特异性 非负矩阵分解 |
| 收稿时间： | 2015/1/6 0:00:00 |
| 修稿时间： | 2015/5/6 0:00:00 |
IDENTIFICATION OF THE TISSUE SPECIFIC PROTEIN COMPLEXES |
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| DING Xi,ZHANG Xiao-fei and YI Ming.IDENTIFICATION OF THE TISSUE SPECIFIC PROTEIN COMPLEXES[J].Journal of Mathematics,2017,37(5):1093-1100. |
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| Authors: | DING Xi ZHANG Xiao-fei and YI Ming |
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| Institution: | School of Mathematics and Statistics, Wuhan University, Wuhan 430072, China,School of Mathematics and Statistics, Central China Normal University, Wuhan 430079, China and School of Science, Huazhong Agricultural University, Wuhan 430070, China |
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| Abstract: | In this paper, we study the identification problem of tissue-specific protein complexes. By using a variety of typical clustering algorithm to cluster the network, we construct a tissue-specific protein-protein interaction network based on the protein-protein interaction networks as well as the tissue-specific gene expression data, then merge the results with non-negative matrix factorization model to obtain tissue-specific protein complexes. The results show that clustering effect has been significantly improved, and can identify tissue-specific protein complexes. |
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| Keywords: | protein-protein interaction networks complexes identification tissue-specific non-negative matrix factorization |
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