计算机应用研究2012，Vol.29Issue(12)：4500-4502,3.DOI:10.3969/j.issn.1001-3695.2012.12.025
从加权网络中预测蛋白质复合物
Prediction of protein complexes based on weighted network
摘要
Abstract
The computational methods predicting protein complexes in the protein-protein interaction network have a great error because of the high false positive rate and false negative rate of protein interaction data. To compensate for this, this paper constructed a new weighted protein interaction network via the integration of the protein-protein interaction and gene expression data. To evaluate the biological significance of the network, it used MCL algorithm to detect protein complexes in the weighted network and unweighted one. Matching analysis was performed between the derived complexes and benchmark complexes. The results show that the weighted network outperforms the unweighted network on biology.关键词
蛋白质相互作用/基因表达谱/蛋白质复合物/匹配统计Key words
protein-protein interaction/ gene expression profiles/ protein complexes/ matching statistics分类
信息技术与安全科学引用本文复制引用
汤希玮,李勇帆,胡秋玲..从加权网络中预测蛋白质复合物[J].计算机应用研究,2012,29(12):4500-4502,3.基金项目
湖南省教育厅科研资助项目(11C0281) （11C0281）
湖南省科技厅科技计划资助项目(2011GK3138,2010GK3049) （2011GK3138,2010GK3049）
湖南省高校科技创新团队支持计划资助项目(湘教通[2010]212号) （湘教通[2010]212号）
