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arXiv 0706.0194q-bio.MN
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经典路径与现代网络的比较:边缘本体论的发展

Comparing Classical Pathways and Modern Networks: Towards the Development of an Edge Ontology

Long J. Lu, Andrea Sboner, Yuanpeng J. Huang, Hao Xin Lu, Tara A. Gianoulis, Kevin Y. Yip, Philip M. Kim, Gaetano T. Montelione, Mark B. Gerstein

摘要:

途径是系统生物学的组成部分。它们的经典表示已被证明是有用的,但在分配给每个箭头(或边缘)的意义上是不一致的,并且无意中暗示了一个路径与另一个路径的隔离。相反,现代高通量实验产生了标准化的网络,便于拓扑计算。结合这些观点,我们可以在大规模网络中嵌入经典路径,从而证明它们之间的串扰。随着更多不同类型的高通量数据变得可用,我们可以有效地合并这两种观点,同时在多个网络中嵌入路径。然而,原来的问题仍然存在-目前的边缘表示是不足以准确地传达路径中的所有信息。因此,我们建议,一个标准化的,定义良好的,边缘本体是必要的,并提出了一个原型在这里,作为实现这一目标的起点。

英文摘要:

Pathways are integral to systems biology. Their classical representation has proven useful but is inconsistent in the meaning assigned to each arrow (or edge) and inadvertently implies the isolation of one pathway from another. Conversely, modern high-throughput experiments give rise to standardized networks facilitating topological calculations. Combining these perspectives, we can embed classical pathways within large-scale networks and thus demonstrate the crosstalk between them. As more diverse types of high-throughput data become available, we can effectively merge both perspectives, embedding pathways simultaneously in multiple networks. However, the original problem still remains - the current edge representation is inadequate to accurately convey all the information in pathways. Therefore, we suggest that a standardized, well-defined, edge ontology is necessary and propose a prototype here, as a starting point for reaching this goal.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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