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Identifying functional modules in protein–protein interaction networks: an integrated exact approach

机译:识别蛋白质-蛋白质相互作用网络中的功能模块:综合的精确方法

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摘要

Motivation: With the exponential growth of expression and protein–protein interaction (PPI) data, the frontier of research in systems biology shifts more and more to the integrated analysis of these large datasets. Of particular interest is the identification of functional modules in PPI networks, sharing common cellular function beyond the scope of classical pathways, by means of detecting differentially expressed regions in PPI networks. This requires on the one hand an adequate scoring of the nodes in the network to be identified and on the other hand the availability of an effective algorithm to find the maximally scoring network regions. Various heuristic approaches have been proposed in the literature.
机译:动机:随着表达和蛋白质-蛋白质相互作用(PPI)数据的指数增长,系统生物学的研究领域越来越多地转向对这些大型数据集进行综合分析。特别令人感兴趣的是通过检测PPI网络中差异表达的区域来识别PPI网络中的功能模块,这些功能模块共享了经典途径范围之外的共有细胞功能。一方面,这需要对网络中的节点进行适当的评分,另一方面,需要一种有效的算法来找到评分最高的网络区域。文献中已经提出了各种启发式方法。

著录项

  • 来源
    《Bioinformatics 》 |2008年第13期| i223-i231| 共9页
  • 作者单位

    Department of Bioinformatics Biocenter University of Würzburg Am Hubland 97074 Würzburg;

    Institute of Clinical Biochemistry University of Würzburg Josef-Schneider-Str. 2 97080 Würzburg;

    Mathematics in Life Sciences Group Department of Mathematics and Computer Science Freie Universität Berlin Arnimallee 3 14195 Berlin;

    DFG Research Center Matheon Berlin and;

    Institute of Pathology University of Würzburg Josef-Schneider-Str. 2 97080 Würzburg Germany;

  • 收录信息 美国《科学引文索引》(SCI);美国《化学文摘》(CA);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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